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Title: GitHub - cppiod/Coursera-Deep-Learning-cpp: My notes / works on deep learning from Coursera

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Description: My notes / works on deep learning from Coursera. Contribute to cppiod/Coursera-Deep-Learning-cpp development by creating an account on GitHub.

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101 Commitshttps://github.com/cppiod/Coursera-Deep-Learning-cpp/commits/master/
https://github.com/cppiod/Coursera-Deep-Learning-cpp/commits/master/
Advanced Computer Vision with TensorFlowhttps://github.com/cppiod/Coursera-Deep-Learning-cpp/tree/master/Advanced%20Computer%20Vision%20with%20TensorFlow
Advanced Computer Vision with TensorFlowhttps://github.com/cppiod/Coursera-Deep-Learning-cpp/tree/master/Advanced%20Computer%20Vision%20with%20TensorFlow
Apply Generative Adversarial Networks (GANs)https://github.com/cppiod/Coursera-Deep-Learning-cpp/tree/master/Apply%20Generative%20Adversarial%20Networks%20(GANs)
Apply Generative Adversarial Networks (GANs)https://github.com/cppiod/Coursera-Deep-Learning-cpp/tree/master/Apply%20Generative%20Adversarial%20Networks%20(GANs)
Build Basic Generative Adversarial Networks (GANs)https://github.com/cppiod/Coursera-Deep-Learning-cpp/tree/master/Build%20Basic%20Generative%20Adversarial%20Networks%20(GANs)
Build Basic Generative Adversarial Networks (GANs)https://github.com/cppiod/Coursera-Deep-Learning-cpp/tree/master/Build%20Basic%20Generative%20Adversarial%20Networks%20(GANs)
Build Better Generative Adversarial Networks (GANs)https://github.com/cppiod/Coursera-Deep-Learning-cpp/tree/master/Build%20Better%20Generative%20Adversarial%20Networks%20(GANs)
Build Better Generative Adversarial Networks (GANs)https://github.com/cppiod/Coursera-Deep-Learning-cpp/tree/master/Build%20Better%20Generative%20Adversarial%20Networks%20(GANs)
Convolutional Neural Networks in TensorFlowhttps://github.com/cppiod/Coursera-Deep-Learning-cpp/tree/master/Convolutional%20Neural%20Networks%20in%20TensorFlow
Convolutional Neural Networks in TensorFlowhttps://github.com/cppiod/Coursera-Deep-Learning-cpp/tree/master/Convolutional%20Neural%20Networks%20in%20TensorFlow
Convolutional Neural Networkshttps://github.com/cppiod/Coursera-Deep-Learning-cpp/tree/master/Convolutional%20Neural%20Networks
Convolutional Neural Networkshttps://github.com/cppiod/Coursera-Deep-Learning-cpp/tree/master/Convolutional%20Neural%20Networks
Custom Models, Layers, and Loss Functions with TensorFlowhttps://github.com/cppiod/Coursera-Deep-Learning-cpp/tree/master/Custom%20Models%2C%20Layers%2C%20and%20Loss%20Functions%20with%20TensorFlow
Custom Models, Layers, and Loss Functions with TensorFlowhttps://github.com/cppiod/Coursera-Deep-Learning-cpp/tree/master/Custom%20Models%2C%20Layers%2C%20and%20Loss%20Functions%20with%20TensorFlow
Custom and Distributed Training with Tensorflowhttps://github.com/cppiod/Coursera-Deep-Learning-cpp/tree/master/Custom%20and%20Distributed%20Training%20with%20Tensorflow
Custom and Distributed Training with Tensorflowhttps://github.com/cppiod/Coursera-Deep-Learning-cpp/tree/master/Custom%20and%20Distributed%20Training%20with%20Tensorflow
Improving Deep Neural Networks Hyperparameter tuning, Regularization and Optimizationhttps://github.com/cppiod/Coursera-Deep-Learning-cpp/tree/master/Improving%20Deep%20Neural%20Networks%20Hyperparameter%20tuning%2C%20Regularization%20and%20Optimization
Improving Deep Neural Networks Hyperparameter tuning, Regularization and Optimizationhttps://github.com/cppiod/Coursera-Deep-Learning-cpp/tree/master/Improving%20Deep%20Neural%20Networks%20Hyperparameter%20tuning%2C%20Regularization%20and%20Optimization
Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learninghttps://github.com/cppiod/Coursera-Deep-Learning-cpp/tree/master/Introduction%20to%20TensorFlow%20for%20Artificial%20Intelligence%2C%20Machine%20Learning%2C%20and%20Deep%20Learning
Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learninghttps://github.com/cppiod/Coursera-Deep-Learning-cpp/tree/master/Introduction%20to%20TensorFlow%20for%20Artificial%20Intelligence%2C%20Machine%20Learning%2C%20and%20Deep%20Learning
Natural Language Processing in TensorFlowhttps://github.com/cppiod/Coursera-Deep-Learning-cpp/tree/master/Natural%20Language%20Processing%20in%20TensorFlow
Natural Language Processing in TensorFlowhttps://github.com/cppiod/Coursera-Deep-Learning-cpp/tree/master/Natural%20Language%20Processing%20in%20TensorFlow
Natural Language Processing with Attention Modelshttps://github.com/cppiod/Coursera-Deep-Learning-cpp/tree/master/Natural%20Language%20Processing%20with%20Attention%20Models
Natural Language Processing with Attention Modelshttps://github.com/cppiod/Coursera-Deep-Learning-cpp/tree/master/Natural%20Language%20Processing%20with%20Attention%20Models
Natural Language Processing with Classification and Vector Spaceshttps://github.com/cppiod/Coursera-Deep-Learning-cpp/tree/master/Natural%20Language%20Processing%20with%20Classification%20and%20Vector%20Spaces
Natural Language Processing with Classification and Vector Spaceshttps://github.com/cppiod/Coursera-Deep-Learning-cpp/tree/master/Natural%20Language%20Processing%20with%20Classification%20and%20Vector%20Spaces
Natural Language Processing with Probabilistic Modelshttps://github.com/cppiod/Coursera-Deep-Learning-cpp/tree/master/Natural%20Language%20Processing%20with%20Probabilistic%20Models
Natural Language Processing with Probabilistic Modelshttps://github.com/cppiod/Coursera-Deep-Learning-cpp/tree/master/Natural%20Language%20Processing%20with%20Probabilistic%20Models
Natural Language Processing with Sequence Modelshttps://github.com/cppiod/Coursera-Deep-Learning-cpp/tree/master/Natural%20Language%20Processing%20with%20Sequence%20Models
Natural Language Processing with Sequence Modelshttps://github.com/cppiod/Coursera-Deep-Learning-cpp/tree/master/Natural%20Language%20Processing%20with%20Sequence%20Models
Neural Networks and Deep Learninghttps://github.com/cppiod/Coursera-Deep-Learning-cpp/tree/master/Neural%20Networks%20and%20Deep%20Learning
Neural Networks and Deep Learninghttps://github.com/cppiod/Coursera-Deep-Learning-cpp/tree/master/Neural%20Networks%20and%20Deep%20Learning
Sequence Modelshttps://github.com/cppiod/Coursera-Deep-Learning-cpp/tree/master/Sequence%20Models
Sequence Modelshttps://github.com/cppiod/Coursera-Deep-Learning-cpp/tree/master/Sequence%20Models
Sequences, Time Series and Predictionhttps://github.com/cppiod/Coursera-Deep-Learning-cpp/tree/master/Sequences%2C%20Time%20Series%20and%20Prediction
Sequences, Time Series and Predictionhttps://github.com/cppiod/Coursera-Deep-Learning-cpp/tree/master/Sequences%2C%20Time%20Series%20and%20Prediction
Structuring Machine Learning Projectshttps://github.com/cppiod/Coursera-Deep-Learning-cpp/tree/master/Structuring%20Machine%20Learning%20Projects
Structuring Machine Learning Projectshttps://github.com/cppiod/Coursera-Deep-Learning-cpp/tree/master/Structuring%20Machine%20Learning%20Projects
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https://github.com/cppiod/Coursera-Deep-Learning-cpp#coursera
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Introductionhttps://github.com/cppiod/Coursera-Deep-Learning-cpp#Introduction
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https://github.com/cppiod/Coursera-Deep-Learning-cpp#introduction
https://github.com/cppiod/Coursera-Deep-Learning-cpp#courses
https://github.com/cppiod/Coursera-Deep-Learning-cpp#tensorflow-advanced-techniques-specialization
Custom Models, Layers, and Loss Functions with TensorFlowhttps://github.com/y33-j3T/Coursera/tree/master/Custom%20Models%2C%20Layers%2C%20and%20Loss%20Functions%20with%20TensorFlow
https://github.com/cppiod/Coursera-Deep-Learning-cpp#1-custom-models-layers-and-loss-functions-with-tensorflow
https://github.com/cppiod/Coursera-Deep-Learning-cpp#week-1---functional-apis
Lab: Functional API Practicehttps://github.com/y33-j3T/Coursera/blob/master/Custom%20Models%2C%20Layers%2C%20and%20Loss%20Functions%20with%20TensorFlow/Week%201%20-%20Functional%20APIs/C1_W1_Lab_1_functional-practice.ipynb
Lab: Multi-outputhttps://github.com/y33-j3T/Coursera/blob/master/Custom%20Models%2C%20Layers%2C%20and%20Loss%20Functions%20with%20TensorFlow/Week%201%20-%20Functional%20APIs/C1_W1_Lab_2_multi-output.ipynb
Lab: Siamese networkhttps://github.com/y33-j3T/Coursera/blob/master/Custom%20Models%2C%20Layers%2C%20and%20Loss%20Functions%20with%20TensorFlow/Week%201%20-%20Functional%20APIs/C1_W1_Lab_3_siamese-network.ipynb
Programming Assignment: Multiple Output Models using Keras Functional APIhttps://github.com/y33-j3T/Coursera/blob/master/Custom%20Models%2C%20Layers%2C%20and%20Loss%20Functions%20with%20TensorFlow/Week%201%20-%20Functional%20APIs/C1W1_Assignment.ipynb
https://github.com/cppiod/Coursera-Deep-Learning-cpp#week-2---custom-loss-functions
Lab: Huber Loss labhttps://github.com/y33-j3T/Coursera/blob/master/Custom%20Models%2C%20Layers%2C%20and%20Loss%20Functions%20with%20TensorFlow/Week%202%20-%20Custom%20Loss%20Functions/C1_W2_Lab_1_huber-loss.ipynb
Lab: Huber Loss objecthttps://github.com/y33-j3T/Coursera/blob/master/Custom%20Models%2C%20Layers%2C%20and%20Loss%20Functions%20with%20TensorFlow/Week%202%20-%20Custom%20Loss%20Functions/C1_W2_Lab_2_huber-object-loss.ipynb
Lab: Contrastive loss in the siamese networkhttps://github.com/y33-j3T/Coursera/blob/master/Custom%20Models%2C%20Layers%2C%20and%20Loss%20Functions%20with%20TensorFlow/Week%201%20-%20Functional%20APIs/C1_W1_Lab_3_siamese-network.ipynb
Programming Assignment: Creating a custom loss functionhttps://github.com/y33-j3T/Coursera/blob/master/Custom%20Models%2C%20Layers%2C%20and%20Loss%20Functions%20with%20TensorFlow/Week%202%20-%20Custom%20Loss%20Functions/C1W2_Assignment.ipynb
https://github.com/cppiod/Coursera-Deep-Learning-cpp#week-3---custom-layers
Lab: Lambda layerhttps://github.com/y33-j3T/Coursera/blob/master/Custom%20Models%2C%20Layers%2C%20and%20Loss%20Functions%20with%20TensorFlow/Week%203%20-%20Custom%20Layers/C1_W3_Lab_1_lambda-layer.ipynb
Lab: Custom dense layerhttps://github.com/y33-j3T/Coursera/blob/master/Custom%20Models%2C%20Layers%2C%20and%20Loss%20Functions%20with%20TensorFlow/Week%203%20-%20Custom%20Layers/C1_W3_Lab_2_custom-dense-layer.ipynb
Lab: Activation in a custom layerhttps://github.com/y33-j3T/Coursera/blob/master/Custom%20Models%2C%20Layers%2C%20and%20Loss%20Functions%20with%20TensorFlow/Week%203%20-%20Custom%20Layers/C1_W3_Lab_3_custom-layer-activation.ipynb
Programming Assignment: Implement a Quadratic Layerhttps://github.com/y33-j3T/Coursera/blob/master/Custom%20Models%2C%20Layers%2C%20and%20Loss%20Functions%20with%20TensorFlow/Week%203%20-%20Custom%20Layers/C1W3_Assignment.ipynb
https://github.com/cppiod/Coursera-Deep-Learning-cpp#week-4---custom-models
Lab: Build a basic modelhttps://github.com/y33-j3T/Coursera/blob/master/Custom%20Models%2C%20Layers%2C%20and%20Loss%20Functions%20with%20TensorFlow/Week%204%20-%20Custom%20Models/C1_W4_Lab_1_basic-model.ipynb
Lab: Build a ResNet modelhttps://github.com/y33-j3T/Coursera/blob/master/Custom%20Models%2C%20Layers%2C%20and%20Loss%20Functions%20with%20TensorFlow/Week%204%20-%20Custom%20Models/C1_W4_Lab_2_resnet-example.ipynb
Programming Assignment: Create a VGG networkhttps://github.com/y33-j3T/Coursera/blob/master/Custom%20Models%2C%20Layers%2C%20and%20Loss%20Functions%20with%20TensorFlow/Week%204%20-%20Custom%20Models/C1W4_Assignment.ipynb
https://github.com/cppiod/Coursera-Deep-Learning-cpp#week-5---bonus-content---callbacks
Lab: Built-in Callbackshttps://github.com/y33-j3T/Coursera/blob/master/Custom%20Models%2C%20Layers%2C%20and%20Loss%20Functions%20with%20TensorFlow/Week%205%20-%20Bonus%20Content%20-%20Callbacks/C1_W5_Lab_1_exploring-callbacks.ipynb
Lab: Custom Callbackshttps://github.com/y33-j3T/Coursera/blob/master/Custom%20Models%2C%20Layers%2C%20and%20Loss%20Functions%20with%20TensorFlow/Week%205%20-%20Bonus%20Content%20-%20Callbacks/C1_W5_Lab_2_custom-callbacks.ipynb
Custom and Distributed Training with Tensorflowhttps://github.com/y33-j3T/Coursera/tree/master/Custom%20and%20Distributed%20Training%20with%20Tensorflow
https://github.com/cppiod/Coursera-Deep-Learning-cpp#2-custom-and-distributed-training-with-tensorflow
https://github.com/cppiod/Coursera-Deep-Learning-cpp#week-1---differentiation-and-gradients
Lab: Basic Tensorshttps://github.com/y33-j3T/Coursera/blob/master/Custom%20and%20Distributed%20Training%20with%20Tensorflow/Week%201%20-%20Differentiation%20and%20Gradients/C2_W1_Lab_1_basic-tensors.ipynb
Lab: Gradient Tape Basicshttps://github.com/y33-j3T/Coursera/blob/master/Custom%20and%20Distributed%20Training%20with%20Tensorflow/Week%201%20-%20Differentiation%20and%20Gradients/C2_W1_Lab_2_gradient-tape-basics.ipynb
Programming Assignment: Basic Tensor Operationshttps://github.com/y33-j3T/Coursera/blob/master/Custom%20and%20Distributed%20Training%20with%20Tensorflow/Week%201%20-%20Differentiation%20and%20Gradients/C2W1_Assignment.ipynb
https://github.com/cppiod/Coursera-Deep-Learning-cpp#week-2---custom-training
Lab: Training Basicshttps://github.com/y33-j3T/Coursera/blob/master/Custom%20and%20Distributed%20Training%20with%20Tensorflow/Week%202%20-%20Custom%20Training/C2_W2_Lab_1_training-basics.ipynb
Lab: Fashion MNIST using Custom Training Loophttps://github.com/y33-j3T/Coursera/blob/master/Custom%20and%20Distributed%20Training%20with%20Tensorflow/Week%202%20-%20Custom%20Training/C2_W2_Lab_2_training-categorical.ipynb
Programming Assignment: Breast Cancer Predictionhttps://github.com/y33-j3T/Coursera/blob/master/Custom%20and%20Distributed%20Training%20with%20Tensorflow/Week%202%20-%20Custom%20Training/C2W2_Assignment.ipynb
https://github.com/cppiod/Coursera-Deep-Learning-cpp#week-3---graph-mode
Lab: AutoGraph Basicshttps://github.com/y33-j3T/Coursera/blob/master/Custom%20and%20Distributed%20Training%20with%20Tensorflow/Week%203%20-%20Graph%20Mode/C2_W3_Lab_1_autograph-basics.ipynb
Lab: AutoGraphhttps://github.com/y33-j3T/Coursera/blob/master/Custom%20and%20Distributed%20Training%20with%20Tensorflow/Week%203%20-%20Graph%20Mode/C2_W3_Lab_2-graphs-for-complex-code.ipynb
Programming Assignment: Horse or Human?https://github.com/y33-j3T/Coursera/blob/master/Custom%20and%20Distributed%20Training%20with%20Tensorflow/Week%203%20-%20Graph%20Mode/C2W3_Assignment.ipynb
https://github.com/cppiod/Coursera-Deep-Learning-cpp#week-4---distributed-training
Lab: Mirrored Strategyhttps://github.com/y33-j3T/Coursera/blob/master/Custom%20and%20Distributed%20Training%20with%20Tensorflow/Week%204%20-%20Distributed%20Training/C2_W4_Lab_1_basic-mirrored-strategy.ipynb
Lab: Multi GPU Mirrored Strategyhttps://github.com/y33-j3T/Coursera/blob/master/Custom%20and%20Distributed%20Training%20with%20Tensorflow/Week%204%20-%20Distributed%20Training/C2_W4_Lab_2_multi-GPU-mirrored-strategy.ipynb
Lab: TPU Strategyhttps://github.com/y33-j3T/Coursera/blob/master/Custom%20and%20Distributed%20Training%20with%20Tensorflow/Week%204%20-%20Distributed%20Training/C2_W4_Lab_3_using-TPU-strategy.ipynb
Lab: One Device Strategyhttps://github.com/y33-j3T/Coursera/blob/master/Custom%20and%20Distributed%20Training%20with%20Tensorflow/Week%204%20-%20Distributed%20Training/C2_W4_Lab_4_one-device-strategy.ipynb
Programming Assignment: Distributed Strategyhttps://github.com/y33-j3T/Coursera/blob/master/Custom%20and%20Distributed%20Training%20with%20Tensorflow/Week%204%20-%20Distributed%20Training/C2W4_Assignment.ipynb
Advanced Computer Vision with TensorFlowhttps://github.com/y33-j3T/Coursera/tree/master/Advanced%20Computer%20Vision%20with%20TensorFlow
https://github.com/cppiod/Coursera-Deep-Learning-cpp#3-advanced-computer-vision-with-tensorflow
https://github.com/cppiod/Coursera-Deep-Learning-cpp#week-1---introduction-to-computer-vision
Lab: Transfer Learninghttps://github.com/y33-j3T/Coursera/blob/master/Advanced%20Computer%20Vision%20with%20TensorFlow/Week%201%20-%20Introduction%20to%20Computer%20Vision/Copy%20of%20C3_W1_Lab_1_transfer_learning_cats_dogs.ipynb
Lab: Transfer Learning with ResNet 50https://github.com/y33-j3T/Coursera/blob/master/Advanced%20Computer%20Vision%20with%20TensorFlow/Week%201%20-%20Introduction%20to%20Computer%20Vision/Copy%20of%20C3_W1_Lab_2_Transfer_Learning_CIFAR_10.ipynb
Lab: Image Classification and Object Localizationhttps://github.com/y33-j3T/Coursera/blob/master/Advanced%20Computer%20Vision%20with%20TensorFlow/Week%201%20-%20Introduction%20to%20Computer%20Vision/Copy%20of%20C3_W1_Lab_3_Object_Localization.ipynb
Programming Assignment: Bird Boxeshttps://github.com/y33-j3T/Coursera/blob/master/Advanced%20Computer%20Vision%20with%20TensorFlow/Week%201%20-%20Introduction%20to%20Computer%20Vision/Copy%20of%20C3W1_Assignment.ipynb
https://github.com/cppiod/Coursera-Deep-Learning-cpp#week-2---object-detection
Lab: Implement Simple Object Detectionhttps://github.com/y33-j3T/Coursera/blob/master/Advanced%20Computer%20Vision%20with%20TensorFlow/Week%202%20-%20Object%20Detection/Copy%20of%20C3_W2_Lab_1_Simple_Object_Detection.ipynb
Lab: Predicting Bounding Boxes for Object Detectionhttps://github.com/y33-j3T/Coursera/blob/master/Advanced%20Computer%20Vision%20with%20TensorFlow/Week%202%20-%20Object%20Detection/Copy%20of%20C3_W2_Lab_2_Object_Detection.ipynb
Programming Assignment: Zombie Detectorhttps://github.com/y33-j3T/Coursera/blob/master/Advanced%20Computer%20Vision%20with%20TensorFlow/Week%202%20-%20Object%20Detection/Copy%20of%20C3W2_Assignment.ipynb
https://github.com/cppiod/Coursera-Deep-Learning-cpp#week-3---image-segmentation
Lab: Implement a Fully Convolutional Neural Networkhttps://github.com/y33-j3T/Coursera/blob/master/Advanced%20Computer%20Vision%20with%20TensorFlow/Week%203%20-%20Image%20Segmentation/Copy%20of%20C3_W3_Lab_1_VGG16-FCN8-CamVid.ipynb
Lab: Implement a UNethttps://github.com/y33-j3T/Coursera/blob/master/Advanced%20Computer%20Vision%20with%20TensorFlow/Week%203%20-%20Image%20Segmentation/Copy%20of%20C3_W3_Lab_2_OxfordPets-UNet.ipynb
Lab: Instance Segmentation Demohttps://github.com/y33-j3T/Coursera/blob/master/Advanced%20Computer%20Vision%20with%20TensorFlow/Week%203%20-%20Image%20Segmentation/Copy%20of%20C3_W3_Lab_3_Mask-RCNN-ImageSegmentation.ipynb
Programming Assignment: Image Segmentation of Handwritten Digitshttps://github.com/y33-j3T/Coursera/blob/master/Advanced%20Computer%20Vision%20with%20TensorFlow/Week%203%20-%20Image%20Segmentation/Copy%20of%20C3W3_Assignment.ipynb
https://github.com/cppiod/Coursera-Deep-Learning-cpp#week-4---visualization-and-interpretability
Lab: Class Activation Maps with Fashion MNISThttps://github.com/y33-j3T/Coursera/blob/master/Advanced%20Computer%20Vision%20with%20TensorFlow/Week%204%20-%20Visualization%20and%20Interpretability/Copy%20of%20C3_W4_Lab_1_FashionMNIST-CAM.ipynb
Lab: Class Activation Maps "Cats vs Dogs"https://github.com/y33-j3T/Coursera/blob/master/Advanced%20Computer%20Vision%20with%20TensorFlow/Week%204%20-%20Visualization%20and%20Interpretability/Copy%20of%20C3_W4_Lab_2_CatsDogs-CAM.ipynb
Lab: Saliency Mapshttps://github.com/y33-j3T/Coursera/blob/master/Advanced%20Computer%20Vision%20with%20TensorFlow/Week%204%20-%20Visualization%20and%20Interpretability/Copy%20of%20C3_W4_Lab_3_Saliency.ipynb
Lab: GradCAMhttps://github.com/y33-j3T/Coursera/blob/master/Advanced%20Computer%20Vision%20with%20TensorFlow/Week%204%20-%20Visualization%20and%20Interpretability/Copy%20of%20C3_W4_Lab_4_GradCam.ipynb
Programming Assignment: Cats vs Dogs Saliency Mapshttps://github.com/y33-j3T/Coursera/blob/master/Advanced%20Computer%20Vision%20with%20TensorFlow/Week%204%20-%20Visualization%20and%20Interpretability/Copy%20of%20C3W4_Assignment.ipynb
https://github.com/cppiod/Coursera-Deep-Learning-cpp#deeplearningai-tensorflow-developer-specialization
Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learninghttps://github.com/y33-j3T/Coursera/tree/master/Introduction%20to%20TensorFlow%20for%20Artificial%20Intelligence%2C%20Machine%20Learning%2C%20and%20Deep%20Learning
https://github.com/cppiod/Coursera-Deep-Learning-cpp#1-introduction-to-tensorflow-for-artificial-intelligence-machine-learning-and-deep-learning
https://github.com/cppiod/Coursera-Deep-Learning-cpp#week-1---a-new-programming-paradigm
Programming Assignment: Exercise 1 (Housing Prices)https://github.com/y33-j3T/Coursera/blob/master/Introduction%20to%20TensorFlow%20for%20Artificial%20Intelligence%2C%20Machine%20Learning%2C%20and%20Deep%20Learning/Week%201%20-%20A%20New%20Programming%20Paradigm/Exercise_1_House_Prices_Question.ipynb
https://github.com/cppiod/Coursera-Deep-Learning-cpp#week-2---introduction-to-computer-vision
Programming Assignment: Exercise 2 (Handwriting Recognition)https://github.com/y33-j3T/Coursera/blob/master/Introduction%20to%20TensorFlow%20for%20Artificial%20Intelligence%2C%20Machine%20Learning%2C%20and%20Deep%20Learning/Week%202%20-%20Introduction%20to%20Computer%20Vision/Exercise2-Question.ipynb
https://github.com/cppiod/Coursera-Deep-Learning-cpp#week-3---enchancing-vision-with-convolutional-neural-networks
Programming Assignment: Exercise 3 (Improve MNIST with convolutions)https://github.com/y33-j3T/Coursera/blob/master/Introduction%20to%20TensorFlow%20for%20Artificial%20Intelligence%2C%20Machine%20Learning%2C%20and%20Deep%20Learning/Week%203%20-%20Enchancing%20Vision%20with%20Convolutional%20Neural%20Networks/Excercise-3-Question.ipynb
https://github.com/cppiod/Coursera-Deep-Learning-cpp#week-4---using-real-world-images
Programming Assignment: Exercise 4 (Handling complex images)https://github.com/y33-j3T/Coursera/blob/master/Introduction%20to%20TensorFlow%20for%20Artificial%20Intelligence%2C%20Machine%20Learning%2C%20and%20Deep%20Learning/Week%204%20-%20Using%20Real-world%20Images/Exercise4-Question.ipynb
Convolutional Neural Networks in TensorFlowhttps://github.com/y33-j3T/Coursera/tree/master/Convolutional%20Neural%20Networks%20in%20TensorFlow
https://github.com/cppiod/Coursera-Deep-Learning-cpp#2-convolutional-neural-networks-in-tensorflow
https://github.com/cppiod/Coursera-Deep-Learning-cpp#week-1---exploring-a-larger-dataset
Programming Assignment: Exercise 1 - Cats vs. Dogshttps://github.com/y33-j3T/Coursera/blob/master/Convolutional%20Neural%20Networks%20in%20TensorFlow/Week%201%20-%20Exploring%20a%20Larger%20Dataset/Exercise_1_Cats_vs_Dogs_Question-FINAL.ipynb
https://github.com/cppiod/Coursera-Deep-Learning-cpp#week-2---augmentation-a-technique-to-avoid-overfitting
Programming Assignment: Exercise 2 - Cats vs. Dogs using augmentationhttps://github.com/y33-j3T/Coursera/blob/master/Convolutional%20Neural%20Networks%20in%20TensorFlow/Week%202%20-%20Augmentation%20A%20Technique%20to%20Avoid%20Overfitting/Exercise_2_Cats_vs_Dogs_using_augmentation_Question-FINAL.ipynb
https://github.com/cppiod/Coursera-Deep-Learning-cpp#week-3---transfer-learning
Programming Assignment: Exercise 3 - Horses vs. humans using Transfer Learninghttps://github.com/y33-j3T/Coursera/blob/master/Convolutional%20Neural%20Networks%20in%20TensorFlow/Week%203%20-%20Transfer%20Learning/Exercise_3_Horses_vs_humans_using_Transfer_Learning_Question-FINAL.ipynb
https://github.com/cppiod/Coursera-Deep-Learning-cpp#week-4---multiclass-classifications
Programming Assignment: Exercise 4 - Multi-class classifierhttps://github.com/y33-j3T/Coursera/blob/master/Convolutional%20Neural%20Networks%20in%20TensorFlow/Week%204%20-%20Multiclass%20Classifications/Exercise_4_Multi_class_classifier_Question-FINAL.ipynb
Natural Language Processing in TensorFlowhttps://github.com/y33-j3T/Coursera/tree/master/Natural%20Language%20Processing%20in%20TensorFlow
https://github.com/cppiod/Coursera-Deep-Learning-cpp#3-natural-language-processing-in-tensorflow
https://github.com/cppiod/Coursera-Deep-Learning-cpp#week-1---sentiment-in-text
Ungraded External Tool: Exercise 1 - Explore the BBC news archivehttps://github.com/y33-j3T/Coursera/blob/master/Natural%20Language%20Processing%20in%20TensorFlow/Week%201%20-%20Sentiment%20in%20Text/Course_3_Week_1_Exercise_answer.ipynb
Ungraded External Tool: Exercise 1 - Explore the BBC news archive (answer)https://github.com/y33-j3T/Coursera/blob/master/Natural%20Language%20Processing%20in%20TensorFlow/Week%201%20-%20Sentiment%20in%20Text/Course_3_Week_1_Exercise_answer.ipynb
https://github.com/cppiod/Coursera-Deep-Learning-cpp#week-2---word-embeddings
Ungraded External Tool: Exercise 2 - BBC news archivehttps://github.com/y33-j3T/Coursera/blob/master/Natural%20Language%20Processing%20in%20TensorFlow/Week%202%20-%20Word%20Embeddings/Course_3_Week_2_Exercise_Question.ipynb
Ungraded External Tool: Exercise 2 - BBC news archive (answer)https://github.com/y33-j3T/Coursera/blob/master/Natural%20Language%20Processing%20in%20TensorFlow/Week%202%20-%20Word%20Embeddings/Course_3_Week_2_Exercise_Answer.ipynb
https://github.com/cppiod/Coursera-Deep-Learning-cpp#week-3---sequence-models
Ungraded External Tool: Exercise 3 - Exploring overfitting in NLPhttps://github.com/y33-j3T/Coursera/blob/master/Natural%20Language%20Processing%20in%20TensorFlow/Week%203%20-%20Sequence%20Models/NLP_Course_Week_3_Exercise_Question.ipynb
Ungraded External Tool: Exercise 3 - Exploring overfitting in NLP (answer)https://github.com/y33-j3T/Coursera/blob/master/Natural%20Language%20Processing%20in%20TensorFlow/Week%203%20-%20Sequence%20Models/NLP_Course_Week_3_Exercise_Answer.ipynb
https://github.com/cppiod/Coursera-Deep-Learning-cpp#week-4---sequence-models-and-literature
Ungraded External Tool: Exercise 4 - Using LSTMs, see if you can write Shakespearehttps://github.com/y33-j3T/Coursera/blob/master/Natural%20Language%20Processing%20in%20TensorFlow/Week%204%20-%20Sequence%20Models%20and%20Literature/NLP_Week4_Exercise_Shakespeare_Question.ipynb
Ungraded External Tool: Exercise 4 - Using LSTMs, see if you can write Shakespeare (answer)https://github.com/y33-j3T/Coursera/blob/master/Natural%20Language%20Processing%20in%20TensorFlow/Week%204%20-%20Sequence%20Models%20and%20Literature/NLP_Week4_Exercise_Shakespeare_Answer.ipynb
Sequences, Time Series and Predictionhttps://github.com/y33-j3T/Coursera/tree/master/Sequences%2C%20Time%20Series%20and%20Prediction
https://github.com/cppiod/Coursera-Deep-Learning-cpp#4-sequences-time-series-and-prediction
https://github.com/cppiod/Coursera-Deep-Learning-cpp#week-1---sequences-and-prediction
Ungraded External Tool: Exercise 1 - Create and predict synthetic datahttps://github.com/y33-j3T/Coursera/blob/master/Sequences%2C%20Time%20Series%20and%20Prediction/Week%201%20-%20Sequences%20and%20Prediction/Week_1_Exercise_Question.ipynb
Ungraded External Tool: Exercise 1 - Create and predict synthetic data (answer)https://github.com/y33-j3T/Coursera/blob/master/Sequences%2C%20Time%20Series%20and%20Prediction/Week%201%20-%20Sequences%20and%20Prediction/Week_1_Exercise_Answer.ipynb
https://github.com/cppiod/Coursera-Deep-Learning-cpp#week-2---deep-neural-networks-for-time-series
Ungraded External Tool: Exercise 2 - Predict with a DNNhttps://github.com/y33-j3T/Coursera/blob/master/Sequences%2C%20Time%20Series%20and%20Prediction/Week%202%20-%20Deep%20Neural%20Networks%20for%20Time%20Series/S%2BP_Week_2_Exercise_Question.ipynb
Ungraded External Tool: Exercise 2 - Predict with a DNN (answer)https://github.com/y33-j3T/Coursera/blob/master/Sequences%2C%20Time%20Series%20and%20Prediction/Week%202%20-%20Deep%20Neural%20Networks%20for%20Time%20Series/S%2BP_Week_2_Exercise_Answer.ipynb
https://github.com/cppiod/Coursera-Deep-Learning-cpp#week-3---recurrent-neural-networks-for-time-series
Ungraded External Tool: Exercise 3 - Mean Absolute Errorhttps://github.com/y33-j3T/Coursera/blob/master/Sequences%2C%20Time%20Series%20and%20Prediction/Week%203%20-%20Recurrent%20Neural%20Networks%20for%20Time%20Series/S%2BP_Week_3_Exercise_Question.ipynb
Ungraded External Tool: Exercise 3 - Mean Absolute Error (answer)https://github.com/y33-j3T/Coursera/blob/master/Sequences%2C%20Time%20Series%20and%20Prediction/Week%203%20-%20Recurrent%20Neural%20Networks%20for%20Time%20Series/S%2BP_Week_3_Exercise_Answer.ipynb
https://github.com/cppiod/Coursera-Deep-Learning-cpp#week-4---real-world-time-series-data
Ungraded External Tool: Exercise 4 - Sunspotshttps://github.com/y33-j3T/Coursera/blob/master/Sequences%2C%20Time%20Series%20and%20Prediction/Week%204%20-%20Real-world%20Time%20Series%20Data/S%2BP_Week_4_Exercise_Question.ipynb
Ungraded External Tool: Exercise 4 - Sunspots (answer)https://github.com/y33-j3T/Coursera/blob/master/Sequences%2C%20Time%20Series%20and%20Prediction/Week%204%20-%20Real-world%20Time%20Series%20Data/S%2BP_Week_4_Exercise_Answer.ipynb
https://github.com/cppiod/Coursera-Deep-Learning-cpp#generative-adversarial-networks-gans-specialization
Build Basic Generative Adversarial Networks (GANs)https://github.com/y33-j3T/Coursera/tree/master/Build%20Basic%20Generative%20Adversarial%20Networks%20(GANs)
https://github.com/cppiod/Coursera-Deep-Learning-cpp#1-build-basic-generative-adversarial-networks-gans
https://github.com/cppiod/Coursera-Deep-Learning-cpp#week-1---intro-to-gans
Lab: (Optional) Intro to PyTorchhttps://github.com/y33-j3T/Coursera/blob/master/Build%20Basic%20Generative%20Adversarial%20Networks%20(GANs)/Week%201%20-%20Intro%20to%20GANs/Intro_to_PyTorch.ipynb
Programming Assignment: Your First GANhttps://github.com/y33-j3T/Coursera/blob/master/Build%20Basic%20Generative%20Adversarial%20Networks%20(GANs)/Week%201%20-%20Intro%20to%20GANs/C1W1_Your_First_GAN.ipynb
https://github.com/cppiod/Coursera-Deep-Learning-cpp#week-2---deep-convolutional-gans
Programming Assignment: Deep Convolutional GAN (DCGAN)https://github.com/y33-j3T/Coursera/blob/master/Build%20Basic%20Generative%20Adversarial%20Networks%20(GANs)/Week%202%20-%20Deep%20Convolutional%20GANs/C1_W2_Assignment.ipynb
https://github.com/cppiod/Coursera-Deep-Learning-cpp#week-3---wasserstein-gans-with-gradient-penalty
Lab: (Optional) SN-GANhttps://github.com/y33-j3T/Coursera/blob/master/Build%20Basic%20Generative%20Adversarial%20Networks%20(GANs)/Week%203%20-%20Wasserstein%20GANs%20with%20Gradient%20Penalty/SNGAN.ipynb
Programming Assignment: WGANhttps://github.com/y33-j3T/Coursera/blob/master/Build%20Basic%20Generative%20Adversarial%20Networks%20(GANs)/Week%203%20-%20Wasserstein%20GANs%20with%20Gradient%20Penalty/C1W3_WGAN_GP.ipynb
https://github.com/cppiod/Coursera-Deep-Learning-cpp#week-4---conditional-gan--controllable-generation
Lab: (Optional) InfoGANhttps://github.com/y33-j3T/Coursera/blob/master/Build%20Basic%20Generative%20Adversarial%20Networks%20(GANs)/Week%204%20-%20Conditional%20GAN%20%26%20Controllable%20Generation/C1W4_(Optional_Notebook)_InfoGAN.ipynb
Programming Assignment: Conditional GANhttps://github.com/y33-j3T/Coursera/blob/master/Build%20Basic%20Generative%20Adversarial%20Networks%20(GANs)/Week%204%20-%20Conditional%20GAN%20%26%20Controllable%20Generation/C1W4A_Build_a_Conditional_GAN.ipynb
Programming Assignment: Controllable Generationhttps://github.com/y33-j3T/Coursera/blob/master/Build%20Basic%20Generative%20Adversarial%20Networks%20(GANs)/Week%204%20-%20Conditional%20GAN%20%26%20Controllable%20Generation/C1W4B_Controllable_Generation.ipynb
Build Better Generative Adversarial Networks (GANs)https://github.com/y33-j3T/Coursera/tree/master/Build%20Better%20Generative%20Adversarial%20Networks%20(GANs)
https://github.com/cppiod/Coursera-Deep-Learning-cpp#2-build-better-generative-adversarial-networks-gans
https://github.com/cppiod/Coursera-Deep-Learning-cpp#week-1---evaluation-of-gans
Lab: (Optional) Perceptual Path Lengthhttps://github.com/y33-j3T/Coursera/blob/master/Build%20Better%20Generative%20Adversarial%20Networks%20(GANs)/Week%201%20-%20Evaluation%20of%20GANs/PPL.ipynb
Programming Assignment: Fréchet Inception Distancehttps://github.com/y33-j3T/Coursera/blob/master/Build%20Better%20Generative%20Adversarial%20Networks%20(GANs)/Week%201%20-%20Evaluation%20of%20GANs/C2W1_Assignment.ipynb
https://github.com/cppiod/Coursera-Deep-Learning-cpp#week-2---gan-disadvantages-and-bias
Lab: Alternatives: Variational Autoencoders (VAEs)https://github.com/y33-j3T/Coursera/blob/master/Build%20Better%20Generative%20Adversarial%20Networks%20(GANs)/Week%202%20-%20GAN%20Disadvantages%20and%20Bias/C2W2_VAE.ipynb
Programming Assignment: Biashttps://github.com/y33-j3T/Coursera/blob/master/Build%20Better%20Generative%20Adversarial%20Networks%20(GANs)/Week%202%20-%20GAN%20Disadvantages%20and%20Bias/C2W2_Assignment.ipynb
https://github.com/cppiod/Coursera-Deep-Learning-cpp#week-3---stylegan-and-advancements
Lab: (Optional) Components of StyleGAN2https://github.com/y33-j3T/Coursera/blob/master/Build%20Better%20Generative%20Adversarial%20Networks%20(GANs)/Week%203%20-%20StyleGAN%20and%20Advancements/StyleGAN2.ipynb
Lab: (Optional) Components of BigGANhttps://github.com/y33-j3T/Coursera/blob/master/Build%20Better%20Generative%20Adversarial%20Networks%20(GANs)/Week%203%20-%20StyleGAN%20and%20Advancements/BigGAN.ipynb
Programming Assignment: Components of StyleGANhttps://github.com/y33-j3T/Coursera/blob/master/Build%20Better%20Generative%20Adversarial%20Networks%20(GANs)/Week%203%20-%20StyleGAN%20and%20Advancements/C2W3_Assignment.ipynb
Apply Generative Adversarial Networks (GANs)https://github.com/y33-j3T/Coursera/tree/master/Apply%20Generative%20Adversarial%20Networks%20(GANs)
https://github.com/cppiod/Coursera-Deep-Learning-cpp#3-apply-generative-adversarial-networks-gans
https://github.com/cppiod/Coursera-Deep-Learning-cpp#week-1---gans-for-data-augmentation-and-privacy
Programming Assignment: Data Augmentationhttps://github.com/y33-j3T/Coursera/blob/master/Apply%20Generative%20Adversarial%20Networks%20(GANs)/Week%201%20-%20GANs%20for%20Data%20Augmentation%20and%20Privacy/C3W1_Assignment.ipynb
https://github.com/cppiod/Coursera-Deep-Learning-cpp#week-2---image-to-image-translation-with-pix2pix
Programming Assignment: U-Nethttps://github.com/y33-j3T/Coursera/blob/master/Apply%20Generative%20Adversarial%20Networks%20(GANs)/Week%202%20-%20Image-to-Image%20Translation%20with%20Pix2Pix/C3W2A_Assignment.ipynb
Programming Assignment: Pix2Pixhttps://github.com/y33-j3T/Coursera/blob/master/Apply%20Generative%20Adversarial%20Networks%20(GANs)/Week%202%20-%20Image-to-Image%20Translation%20with%20Pix2Pix/C3W2B_Assignment.ipynb
https://github.com/cppiod/Coursera-Deep-Learning-cpp#week-3---unpaired-translation-with-cyclegan
Programming Assignment: CycleGANhttps://github.com/y33-j3T/Coursera/blob/master/Apply%20Generative%20Adversarial%20Networks%20(GANs)/Week%203%20-%20Unpaired%20Translation%20with%20CycleGAN/C3W3_Assignment.ipynb
https://github.com/cppiod/Coursera-Deep-Learning-cpp#natural-language-processing-specialization
Natural Language Processing with Classification and Vector Spaceshttps://github.com/y33-j3T/Coursera/tree/master/Natural%20Language%20Processing%20with%20Classification%20and%20Vector%20Spaces
https://github.com/cppiod/Coursera-Deep-Learning-cpp#1-natural-language-processing-with-classification-and-vector-spaces
https://github.com/cppiod/Coursera-Deep-Learning-cpp#week-1---sentiment-analysis-with-logistic-regression
Lab: Natural Language preprocessinghttps://github.com/y33-j3T/Coursera/blob/master/Natural%20Language%20Processing%20with%20Classification%20and%20Vector%20Spaces/Week%201%20-%20Sentiment%20Analysis%20with%20Logistic%20Regression/NLP_C1_W1_lecture_nb_01.ipynb
Lab: Visualizing word frequencieshttps://github.com/y33-j3T/Coursera/blob/master/Natural%20Language%20Processing%20with%20Classification%20and%20Vector%20Spaces/Week%201%20-%20Sentiment%20Analysis%20with%20Logistic%20Regression/NLP_C1_W1_lecture_nb_02.ipynb
Lab: Visualizing tweets and Logistic Regression modelshttps://github.com/y33-j3T/Coursera/blob/master/Natural%20Language%20Processing%20with%20Classification%20and%20Vector%20Spaces/Week%201%20-%20Sentiment%20Analysis%20with%20Logistic%20Regression/NLP_C1_W1_lecture_nb_03.ipynb
Programming Assignment: Assignment: Logistic Regressionhttps://github.com/y33-j3T/Coursera/blob/master/Natural%20Language%20Processing%20with%20Classification%20and%20Vector%20Spaces/Week%201%20-%20Sentiment%20Analysis%20with%20Logistic%20Regression/C1_W1_Assignment.ipynb
https://github.com/cppiod/Coursera-Deep-Learning-cpp#week-2---sentiment-analysis-with-naive-bayes
Lab: Visualizing likelihoods and confidence ellipseshttps://github.com/y33-j3T/Coursera/blob/master/Natural%20Language%20Processing%20with%20Classification%20and%20Vector%20Spaces/Week%202%20-%20Sentiment%20Analysis%20with%20Naive%20Bayes/NLP_C1_W2_lecture_nb_01.ipynb
Programming Assignment: Assignment: Naive Bayeshttps://github.com/y33-j3T/Coursera/blob/master/Natural%20Language%20Processing%20with%20Classification%20and%20Vector%20Spaces/Week%202%20-%20Sentiment%20Analysis%20with%20Naive%20Bayes/C1_W2_Assignment.ipynb
https://github.com/cppiod/Coursera-Deep-Learning-cpp#week-3---vector-space-models
Lab: Linear algebra in Python with Numpyhttps://github.com/y33-j3T/Coursera/blob/master/Natural%20Language%20Processing%20with%20Classification%20and%20Vector%20Spaces/Week%203%20-%20Vector%20Space%20Models/NLP_C1_W3_lecture_nb_01.ipynb
Lab: Manipulating word embeddingshttps://github.com/y33-j3T/Coursera/blob/master/Natural%20Language%20Processing%20with%20Classification%20and%20Vector%20Spaces/Week%203%20-%20Vector%20Space%20Models/NLP_C1_W3_lecture_nb_02.ipynb
Lab: Another explanation about PCAhttps://github.com/y33-j3T/Coursera/blob/master/Natural%20Language%20Processing%20with%20Classification%20and%20Vector%20Spaces/Week%203%20-%20Vector%20Space%20Models/NLP_C1_W3_lecture_nb_03.ipynb
Programming Assignment: Assignment: Word Embeddingshttps://github.com/y33-j3T/Coursera/blob/master/Natural%20Language%20Processing%20with%20Classification%20and%20Vector%20Spaces/Week%203%20-%20Vector%20Space%20Models/C1_W3_Assignment.ipynb
https://github.com/cppiod/Coursera-Deep-Learning-cpp#week-4---machine-translation-and-document-search
Lab: Rotation matrices in R2https://github.com/y33-j3T/Coursera/blob/master/Natural%20Language%20Processing%20with%20Classification%20and%20Vector%20Spaces/Week%204%20-%20Machine%20Translation%20and%20Document%20Search/NLP_C1_W4_lecture_nb_01.ipynb
Lab: Hash tableshttps://github.com/y33-j3T/Coursera/blob/master/Natural%20Language%20Processing%20with%20Classification%20and%20Vector%20Spaces/Week%204%20-%20Machine%20Translation%20and%20Document%20Search/NLP_C1_W4_lecture_nb_02.ipynb
Programming Assignment: Word Translationhttps://github.com/y33-j3T/Coursera/blob/master/Natural%20Language%20Processing%20with%20Classification%20and%20Vector%20Spaces/Week%204%20-%20Machine%20Translation%20and%20Document%20Search/C1_W4_Assignment.ipynb
Natural Language Processing with Probabilistic Modelshttps://github.com/y33-j3T/Coursera/tree/master/Natural%20Language%20Processing%20with%20Probabilistic%20Models
https://github.com/cppiod/Coursera-Deep-Learning-cpp#2-natural-language-processing-with-probabilistic-models
https://github.com/cppiod/Coursera-Deep-Learning-cpp#week-1---autocorrect
Lab: Building the vocabularyhttps://github.com/y33-j3T/Coursera/blob/master/Natural%20Language%20Processing%20with%20Probabilistic%20Models/Week%201%20-%20Autocorrect/NLP_C2_W1_lecture_nb_01.ipynb
Lab: Candidates from editshttps://github.com/y33-j3T/Coursera/blob/master/Natural%20Language%20Processing%20with%20Probabilistic%20Models/Week%201%20-%20Autocorrect/NLP_C2_W1_lecture_nb_02.ipynb
Programming Assignment: Autocorrecthttps://github.com/y33-j3T/Coursera/blob/master/Natural%20Language%20Processing%20with%20Probabilistic%20Models/Week%201%20-%20Autocorrect/C2_W1_Assignment.ipynb
https://github.com/cppiod/Coursera-Deep-Learning-cpp#week-2---part-of-speech-tagging-and-hidden-markov-models
Lab: Working with text data: numpyhttps://github.com/y33-j3T/Coursera/blob/master/Natural%20Language%20Processing%20with%20Probabilistic%20Models/Week%202%20-%20Part%20of%20Speech%20Tagging%20and%20Hidden%20Markov%20Models/NLP_C2_W2_lecture_notebook_numpy.ipynb
Lab: Working with text data: string tagshttps://github.com/y33-j3T/Coursera/blob/master/Natural%20Language%20Processing%20with%20Probabilistic%20Models/Week%202%20-%20Part%20of%20Speech%20Tagging%20and%20Hidden%20Markov%20Models/NLP_C2_W2_lecture_notebook_strings_tags.ipynb
Programming Assignment: Part of Speech Tagginghttps://github.com/y33-j3T/Coursera/blob/master/Natural%20Language%20Processing%20with%20Probabilistic%20Models/Week%202%20-%20Part%20of%20Speech%20Tagging%20and%20Hidden%20Markov%20Models/C2_W2_Assignment.ipynb
https://github.com/cppiod/Coursera-Deep-Learning-cpp#week-3---autocomplete-and-language-models
Lab: Corpus preprocessing for N-gramshttps://github.com/y33-j3T/Coursera/blob/master/Natural%20Language%20Processing%20with%20Probabilistic%20Models/Week%203%20-%20Autocomplete%20and%20Language%20Models/NLP_C2_W3_lecture_nb_01.ipynb
Lab: Building the language modelhttps://github.com/y33-j3T/Coursera/blob/master/Natural%20Language%20Processing%20with%20Probabilistic%20Models/Week%203%20-%20Autocomplete%20and%20Language%20Models/NLP_C2_W3_lecture_nb_02.ipynb
Lab: Language model generalizationhttps://github.com/y33-j3T/Coursera/blob/master/Natural%20Language%20Processing%20with%20Probabilistic%20Models/Week%203%20-%20Autocomplete%20and%20Language%20Models/NLP_C2_W3_lecture_nb_03.ipynb
Programming Assignment: Autocompletehttps://github.com/y33-j3T/Coursera/blob/master/Natural%20Language%20Processing%20with%20Probabilistic%20Models/Week%203%20-%20Autocomplete%20and%20Language%20Models/C2_W3_Assignment.ipynb
https://github.com/cppiod/Coursera-Deep-Learning-cpp#week-4---word-embeddings-with-neural-networks
Lab: Data Preparationhttps://github.com/y33-j3T/Coursera/blob/master/Natural%20Language%20Processing%20with%20Probabilistic%20Models/Week%204%20-%20Word%20Embeddings%20with%20Neural%20Networks/NLP_C2_W4_lecture_notebook_data_prep.ipynb
Lab: Intro to CBOW modelhttps://github.com/y33-j3T/Coursera/blob/master/Natural%20Language%20Processing%20with%20Probabilistic%20Models/Week%204%20-%20Word%20Embeddings%20with%20Neural%20Networks/NLP_C2_W4_lecture_notebook_model_architecture.ipynb
Lab: Training the CBOW modelhttps://github.com/y33-j3T/Coursera/blob/master/Natural%20Language%20Processing%20with%20Probabilistic%20Models/Week%204%20-%20Word%20Embeddings%20with%20Neural%20Networks/NLP_C2_W4_lecture_notebook_model_training.ipynb
Lab: Word Embeddingshttps://github.com/y33-j3T/Coursera/blob/master/Natural%20Language%20Processing%20with%20Probabilistic%20Models/Week%204%20-%20Word%20Embeddings%20with%20Neural%20Networks/NLP_C2_W4_lecture_notebook_word_embeddings.ipynb
Lab: Word embeddings step by stephttps://github.com/y33-j3T/Coursera/blob/master/Natural%20Language%20Processing%20with%20Probabilistic%20Models/Week%204%20-%20Word%20Embeddings%20with%20Neural%20Networks/NLP_C2_W4_lecture_nb_01.ipynb
Programming Assignment: Word Embeddingshttps://github.com/y33-j3T/Coursera/blob/master/Natural%20Language%20Processing%20with%20Probabilistic%20Models/Week%204%20-%20Word%20Embeddings%20with%20Neural%20Networks/C2_W4_Assignment.ipynb
Natural Language Processing with Sequence Modelshttps://github.com/y33-j3T/Coursera/tree/master/Natural%20Language%20Processing%20with%20Sequence%20Models
https://github.com/cppiod/Coursera-Deep-Learning-cpp#3-natural-language-processing-with-sequence-models
https://github.com/cppiod/Coursera-Deep-Learning-cpp#week-1---neural-netowrks-for-sentiment-analysis
Lab: Introduction to Traxhttps://github.com/y33-j3T/Coursera/blob/master/Natural%20Language%20Processing%20with%20Sequence%20Models/Week%201%20-%20Neural%20Netowrks%20for%20Sentiment%20Analysis/NLP_C3_W1_lecture_nb_01_trax_intro.ipynb
Lab: Classes and Subclasseshttps://github.com/y33-j3T/Coursera/blob/master/Natural%20Language%20Processing%20with%20Sequence%20Models/Week%201%20-%20Neural%20Netowrks%20for%20Sentiment%20Analysis/NLP_C3_W1_lecture_nb_02_classes.ipynb
Lab: Data Generatorshttps://github.com/y33-j3T/Coursera/blob/master/Natural%20Language%20Processing%20with%20Sequence%20Models/Week%201%20-%20Neural%20Netowrks%20for%20Sentiment%20Analysis/NLP_C3_W1_lecture_nb_03_data_generatos.ipynb
Programming Assignment: Sentiment with Deep Neural Networkshttps://github.com/y33-j3T/Coursera/blob/master/Natural%20Language%20Processing%20with%20Sequence%20Models/Week%201%20-%20Neural%20Netowrks%20for%20Sentiment%20Analysis/C3_W1_Assignment.ipynb
https://github.com/cppiod/Coursera-Deep-Learning-cpp#week-2---recurrent-neural-networks-for-language-modelling
Lab: Hidden State Activationhttps://github.com/y33-j3T/Coursera/blob/master/Natural%20Language%20Processing%20with%20Sequence%20Models/Week%202%20-%20Recureent%20Neural%20Networks%20for%20Language%20Modelling/C3_W2_Lecture_Notebook_Hidden_State_Activation.ipynb
Lab: Working with JAX NumPy and Calculating Perplexityhttps://github.com/y33-j3T/Coursera/blob/master/Natural%20Language%20Processing%20with%20Sequence%20Models/Week%202%20-%20Recureent%20Neural%20Networks%20for%20Language%20Modelling/C3_W2_lecture_notebook_perplexity.ipynb
Lab: Vanilla RNNs, GRUs and the scan functionhttps://github.com/y33-j3T/Coursera/blob/master/Natural%20Language%20Processing%20with%20Sequence%20Models/Week%202%20-%20Recureent%20Neural%20Networks%20for%20Language%20Modelling/C3_W2_lecture_notebook_RNNs.ipynb
Lab: Creating a GRU model using Traxhttps://github.com/y33-j3T/Coursera/blob/master/Natural%20Language%20Processing%20with%20Sequence%20Models/Week%202%20-%20Recureent%20Neural%20Networks%20for%20Language%20Modelling/C3_W2_lecture_notebook_GRU.ipynb
Programming Assignment: Deep N-gramshttps://github.com/y33-j3T/Coursera/blob/master/Natural%20Language%20Processing%20with%20Sequence%20Models/Week%202%20-%20Recureent%20Neural%20Networks%20for%20Language%20Modelling/C3_W2_Assignment.ipynb
https://github.com/cppiod/Coursera-Deep-Learning-cpp#week-3---lstms-and-named-entity-recognition
Lab: Vanishing Gradientshttps://github.com/y33-j3T/Coursera/blob/master/Natural%20Language%20Processing%20with%20Sequence%20Models/Week%203%20-%20LSTMs%20and%20Named%20Entity%20Recognition/C3_W3_Lecture_Notebook_Vanishing_Gradients.ipynb
Programming Assignment: Named Entity Recognition (NER)https://github.com/y33-j3T/Coursera/blob/master/Natural%20Language%20Processing%20with%20Sequence%20Models/Week%203%20-%20LSTMs%20and%20Named%20Entity%20Recognition/C3_W3_Assignment.ipynb
https://github.com/cppiod/Coursera-Deep-Learning-cpp#week-4---siamese-networks
Lab: Creating a Siamese Model using Traxhttps://github.com/y33-j3T/Coursera/blob/master/Natural%20Language%20Processing%20with%20Sequence%20Models/Week%204%20-%20Siamese%20Networks/C3_W4_lecture_notebook_siamese.ipynb
Lab: Modified Triplet Losshttps://github.com/y33-j3T/Coursera/blob/master/Natural%20Language%20Processing%20with%20Sequence%20Models/Week%204%20-%20Siamese%20Networks/C3_W4_Lecture_Notebook_Modified_Triplet_Loss.ipynb
Lab: Evaluate a Siamese Modelhttps://github.com/y33-j3T/Coursera/blob/master/Natural%20Language%20Processing%20with%20Sequence%20Models/Week%204%20-%20Siamese%20Networks/C3_W4_lecture_notebook_accuracy.ipynb
Programming Assignment: Question duplicateshttps://github.com/y33-j3T/Coursera/blob/master/Natural%20Language%20Processing%20with%20Sequence%20Models/Week%204%20-%20Siamese%20Networks/C3_W4_Assignment.ipynb
Natural Language Processing with Attention Modelshttps://github.com/y33-j3T/Coursera/tree/master/Natural%20Language%20Processing%20with%20Attention%20Models
https://github.com/cppiod/Coursera-Deep-Learning-cpp#4-natural-language-processing-with-attention-models
https://github.com/cppiod/Coursera-Deep-Learning-cpp#week-1---neural-machine-translation
Lab: Stack Semanticshttps://github.com/y33-j3T/Coursera/blob/master/Natural%20Language%20Processing%20with%20Attention%20Models/Week%201%20-%20Neural%20Machine%20Translation/C4_W1_Ungraded_Lab_Stack_Semantics.ipynb
Lab: BLEU Scorehttps://github.com/y33-j3T/Coursera/blob/master/Natural%20Language%20Processing%20with%20Attention%20Models/Week%201%20-%20Neural%20Machine%20Translation/C4_W1_Ungraded_Lab_Bleu_Score.ipynb
Programming Assignment: NMT with Attentionhttps://github.com/y33-j3T/Coursera/blob/master/Natural%20Language%20Processing%20with%20Attention%20Models/Week%201%20-%20Neural%20Machine%20Translation/C4_W1_Assignment.ipynb
https://github.com/cppiod/Coursera-Deep-Learning-cpp#week-2---text-summarization
Lab: Attentionhttps://github.com/y33-j3T/Coursera/blob/master/Natural%20Language%20Processing%20with%20Attention%20Models/Week%202%20-%20Text%20Summarization/C4_W2_lecture_notebook_Attention.ipynb
Lab: The Transformer Decoderhttps://github.com/y33-j3T/Coursera/blob/master/Natural%20Language%20Processing%20with%20Attention%20Models/Week%202%20-%20Text%20Summarization/C4_W2_lecture_notebook_Transformer_Decoder.ipynb
Programming Assignment: Transformer Summarizerhttps://github.com/y33-j3T/Coursera/blob/master/Natural%20Language%20Processing%20with%20Attention%20Models/Week%202%20-%20Text%20Summarization/C4_W2_Assignment.ipynb
https://github.com/cppiod/Coursera-Deep-Learning-cpp#week-3---question-answering
Lab: SentencePiece and BPEhttps://github.com/y33-j3T/Coursera/blob/master/Natural%20Language%20Processing%20with%20Attention%20Models/Week%203%20-%20Question%20Answering/C4_W3_SentencePiece_and_BPE.ipynb
Lab: BERT Losshttps://github.com/y33-j3T/Coursera/blob/master/Natural%20Language%20Processing%20with%20Attention%20Models/Week%203%20-%20Question%20Answering/C4_W3_Assignment_Ungraded_BERT_Loss.ipynb
Lab: T5https://github.com/y33-j3T/Coursera/blob/master/Natural%20Language%20Processing%20with%20Attention%20Models/Week%203%20-%20Question%20Answering/C4_W3_Assignment_Ungraded_T5.ipynb
Programming Assignment: Question Answeringhttps://github.com/y33-j3T/Coursera/blob/master/Natural%20Language%20Processing%20with%20Attention%20Models/Week%203%20-%20Question%20Answering/C4_W3_Assignment.ipynb
https://github.com/cppiod/Coursera-Deep-Learning-cpp#week-4---chatbot
Lab: Reformer LSHhttps://github.com/y33-j3T/Coursera/blob/master/Natural%20Language%20Processing%20with%20Attention%20Models/Week%204%20-%20Chatbot/C4_W4_Ungraded_Lab_Reformer_LSH.ipynb
Lab: Revnethttps://github.com/y33-j3T/Coursera/blob/master/Natural%20Language%20Processing%20with%20Attention%20Models/Week%204%20-%20Chatbot/C4_W4_Ungraded_Lab_Revnet.ipynb
Programming Assignment: Chatbothttps://github.com/y33-j3T/Coursera/blob/master/Natural%20Language%20Processing%20with%20Attention%20Models/Week%204%20-%20Chatbot/C4_W4_Assignment.ipynb
https://github.com/cppiod/Coursera-Deep-Learning-cpp#deep-learning-specialization
Neural Networks and Deep Learninghttps://github.com/y33-j3T/Coursera/tree/master/Neural%20Networks%20and%20Deep%20Learning
https://github.com/cppiod/Coursera-Deep-Learning-cpp#1-neural-networks-and-deep-learning
https://github.com/cppiod/Coursera-Deep-Learning-cpp#week-1---introduction-to-deep-learning
https://github.com/cppiod/Coursera-Deep-Learning-cpp#week-2---neural-network-basics
Practice Programming Assignment: Python Basics with numpy (optional)https://github.com/y33-j3T/Coursera/blob/master/Neural%20Networks%20and%20Deep%20Learning/Week%202/Python%20Basics%20with%20Numpy/Python_Basics_With_Numpy_v3a.ipynb
Programming Assignment: Logistic Regression with a Neural Network mindsethttps://github.com/y33-j3T/Coursera/blob/master/Neural%20Networks%20and%20Deep%20Learning/Week%202/Logistic%20Regression%20as%20a%20Neural%20Network/Logistic_Regression_with_a_Neural_Network_mindset_v6a.ipynb
https://github.com/cppiod/Coursera-Deep-Learning-cpp#week-3---shallow-neural-networks
Programming Assignment: Planar data classification with a hidden layerhttps://github.com/y33-j3T/Coursera/blob/master/Neural%20Networks%20and%20Deep%20Learning/Week%203/Planar%20data%20classification%20with%20one%20hidden%20layer/Planar_data_classification_with_onehidden_layer_v6c.ipynb
https://github.com/cppiod/Coursera-Deep-Learning-cpp#week-4---deep-neural-networks
Programming Assignment: Building your deep neural network: Step by Stephttps://github.com/y33-j3T/Coursera/blob/master/Neural%20Networks%20and%20Deep%20Learning/Week%204/Building%20your%20Deep%20Neural%20Network%20-%20Step%20by%20Step/Building_your_Deep_Neural_Network_Step_by_Step_v8a.ipynb
Programming Assignment: Deep Neural Network Applicationhttps://github.com/y33-j3T/Coursera/blob/master/Neural%20Networks%20and%20Deep%20Learning/Week%204/Deep%20Neural%20Network%20Application%20Image%20Classification/Deep%20Neural%20Network%20-%20Application%20v8.ipynb
Improving Deep Neural Networks Hyperparameter tuning, Regularization and Optimizationhttps://github.com/y33-j3T/Coursera/tree/master/Improving%20Deep%20Neural%20Networks%20Hyperparameter%20tuning%2C%20Regularization%20and%20Optimization
https://github.com/cppiod/Coursera-Deep-Learning-cpp#2-improving-deep-neural-networks-hyperparameter-tuning-regularization-and-optimization
https://github.com/cppiod/Coursera-Deep-Learning-cpp#week-1---practical-aspects-of-deep-learning
Programming Assignment: Initializationhttps://github.com/y33-j3T/Coursera/blob/master/Improving%20Deep%20Neural%20Networks%20Hyperparameter%20tuning%2C%20Regularization%20and%20Optimization/week5/Initialization/Initialization.ipynb
Programming Assignment: Regularizationhttps://github.com/y33-j3T/Coursera/blob/master/Improving%20Deep%20Neural%20Networks%20Hyperparameter%20tuning%2C%20Regularization%20and%20Optimization/week5/Regularization/Regularization_v2a.ipynb
Programming Assignment: Gradient Checkinghttps://github.com/y33-j3T/Coursera/blob/master/Improving%20Deep%20Neural%20Networks%20Hyperparameter%20tuning%2C%20Regularization%20and%20Optimization/week5/Gradient%20Checking/Gradient%20Checking%20v1.ipynb
https://github.com/cppiod/Coursera-Deep-Learning-cpp#week-2---optimization-algorithms
Programming Assignment: Optimizationhttps://github.com/y33-j3T/Coursera/blob/master/Improving%20Deep%20Neural%20Networks%20Hyperparameter%20tuning%2C%20Regularization%20and%20Optimization/week6/Optimization_methods_v1b.ipynb
https://github.com/cppiod/Coursera-Deep-Learning-cpp#week-3---hyperparameter-tuning-batch-normalization-and-programming-frameworks
Programming Assignment: Tensorflowhttps://github.com/y33-j3T/Coursera/blob/master/Improving%20Deep%20Neural%20Networks%20Hyperparameter%20tuning%2C%20Regularization%20and%20Optimization/week7/TensorFlow_Tutorial_v3b.ipynb
Structuring Machine Learning Projectshttps://github.com/y33-j3T/Coursera/tree/master/Structuring%20Machine%20Learning%20Projects
https://github.com/cppiod/Coursera-Deep-Learning-cpp#3-structuring-machine-learning-projects
Convolutional Neural Networkshttps://github.com/y33-j3T/Coursera/tree/master/Convolutional%20Neural%20Networks
https://github.com/cppiod/Coursera-Deep-Learning-cpp#4-convolutional-neural-networks
https://github.com/cppiod/Coursera-Deep-Learning-cpp#week-1---foundations-of-convolutional-neural-networks
Programming Assignment: Convolutional Model: step by stephttps://github.com/y33-j3T/Coursera/blob/master/Convolutional%20Neural%20Networks/week1/Convolution_model_Step_by_Step_v2a.ipynb
Programming Assignment: Convolutional model: applicationhttps://github.com/y33-j3T/Coursera/blob/master/Convolutional%20Neural%20Networks/week1/Convolution_model_Application_v1a.ipynb
https://github.com/cppiod/Coursera-Deep-Learning-cpp#week-2---deep-convolutional-models-case-studies
Lab: Keras Tutorial (not graded)https://github.com/y33-j3T/Coursera/blob/master/Convolutional%20Neural%20Networks/week2/KerasTutorial/Keras_Tutorial_v2a.ipynb
Programming Assignment: Residual Networkshttps://github.com/y33-j3T/Coursera/blob/master/Convolutional%20Neural%20Networks/week2/ResNets/Residual_Networks_v2a.ipynb
https://github.com/cppiod/Coursera-Deep-Learning-cpp#week-3---object-detection
Programming Assignment: Car detection with YOLOhttps://github.com/y33-j3T/Coursera/blob/master/Convolutional%20Neural%20Networks/week3/Car%20detection%20for%20Autonomous%20Driving/Autonomous_driving_application_Car_detection_v3a.ipynb
https://github.com/cppiod/Coursera-Deep-Learning-cpp#week-4---special-applications-face-recognition--neural-style-transfer
Programming Assignment: Art generation with Neural Style Transferhttps://github.com/y33-j3T/Coursera/blob/master/Convolutional%20Neural%20Networks/week4/Neural%20Style%20Transfer/Art_Generation_with_Neural_Style_Transfer_v3a.ipynb
Programming Assignment: Face Recognitionhttps://github.com/y33-j3T/Coursera/blob/master/Convolutional%20Neural%20Networks/week4/Face%20Recognition/Face_Recognition_v3a.ipynb
Sequence Modelshttps://github.com/y33-j3T/Coursera/tree/master/Sequence%20Models
https://github.com/cppiod/Coursera-Deep-Learning-cpp#5-sequence-models
https://github.com/cppiod/Coursera-Deep-Learning-cpp#week-1---recurrent-neural-networks
Programming Assignment: Building a recurrent neural network - step by stephttps://github.com/y33-j3T/Coursera/blob/master/Sequence%20Models/Week%201/Building%20a%20Recurrent%20Neural%20Network%20-%20Step%20by%20Step/Building_a_Recurrent_Neural_Network_Step_by_Step_v3b.ipynb
Programming Assignment: Dinosaur Island - Character-Level Language Modelinghttps://github.com/y33-j3T/Coursera/blob/master/Sequence%20Models/Week%201/Dinosaur%20Island%20--%20Character-level%20language%20model/Dinosaurus_Island_Character_level_language_model_final_v3b.ipynb
Programming Assignment: Jazz improvisation with LSTMhttps://github.com/y33-j3T/Coursera/blob/master/Sequence%20Models/Week%201/Jazz%20improvisation%20with%20LSTM/Improvise_a_Jazz_Solo_with_an_LSTM_Network_v3a.ipynb
https://github.com/cppiod/Coursera-Deep-Learning-cpp#week-2---natural-language-processing--word-embeddings
Programming Assignment: Operations on word vectors - Debiasinghttps://github.com/y33-j3T/Coursera/blob/master/Sequence%20Models/Week%202/Word%20Vector%20Representation/Operations_on_word_vectors_v2a.ipynb
Programming Assignment: Emojifyhttps://github.com/y33-j3T/Coursera/blob/master/Sequence%20Models/Week%202/Emojify/Emojify_v2a.ipynb
https://github.com/cppiod/Coursera-Deep-Learning-cpp#week-3---sequence-models--attention-mechanism
Programming Assignment: Neural Machine Translation with Attentionhttps://github.com/y33-j3T/Coursera/blob/master/Sequence%20Models/Week%203/Machine%20Translation/Neural_machine_translation_with_attention_v4a.ipynb
Programming Assignment: Trigger word detectionhttps://github.com/y33-j3T/Coursera/blob/master/Sequence%20Models/Week%203/Trigger%20word%20detection/Trigger_word_detection_v1a.ipynb
https://github.com/cppiod/Coursera-Deep-Learning-cpp#contributing
CONTRIBUTE.mdhttps://github.com/cppiod/Coursera-Deep-Learning-cpp/blob/master/CONTRIBUTE.md
https://github.com/cppiod/Coursera-Deep-Learning-cpp#license
MIT licensehttps://github.com/cppiod/Coursera-Deep-Learning-cpp/blob/master/LICENSE
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