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Title: GitHub - samaa/Deep-learning-with-Python: Deep learning codes and projects using Python · GitHub

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Description: Deep learning codes and projects using Python . Contribute to samaa/Deep-learning-with-Python development by creating an account on GitHub.

Open Graph Description: Deep learning codes and projects using Python . Contribute to samaa/Deep-learning-with-Python development by creating an account on GitHub.

X Description: Deep learning codes and projects using Python . Contribute to samaa/Deep-learning-with-Python development by creating an account on GitHub.

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Websitehttps://tirthajyoti.github.io
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Github Repohttps://github.com/tirthajyoti/Deep-learning-with-Python
https://github.com/samaa/Deep-learning-with-Python/tree/master#requirements
here is a guidehttps://mc.ai/tensorflow-gpu-installation-on-ubuntu-18-04/
here is a guidehttps://towardsdatascience.com/installing-tensorflow-with-cuda-cudnn-and-gpu-support-on-windows-10-60693e46e781
Google Colaboratoryhttps://colab.research.google.com/
Google GPU clusterhttps://cloud.google.com/gpu/
check their FAQ herehttps://research.google.com/colaboratory/faq.html
https://github.com/samaa/Deep-learning-with-Python/tree/master#utility-function
DL-Utility-Modulehttps://raw.githubusercontent.com/tirthajyoti/Deep-learning-with-Python/master/Notebooks/utils/DL_utils.py
https://github.com/samaa/Deep-learning-with-Python/tree/master#notebooks
https://github.com/samaa/Deep-learning-with-Python/tree/master#deep-learning-vs-linear-model
Here is the Notebookhttps://github.com/tirthajyoti/Deep-learning-with-Python/blob/master/Notebooks/Function%20approximation%20by%20linear%20model%20and%20deep%20network.ipynb
https://github.com/samaa/Deep-learning-with-Python/tree/master#simple-conv-net
Fashion MNISThttps://github.com/zalandoresearch/fashion-mnist
Here is the Notebookhttps://github.com/tirthajyoti/Computer_vision/blob/master/Notebooks/Fashion_MNIST_using_CNN.ipynb
https://github.com/samaa/Deep-learning-with-Python/tree/master#using-keras-imagedatagenerator-and-other-utilities
Here is the Notebookhttps://github.com/tirthajyoti/Computer_vision/blob/master/Notebooks/Horse_or_Human_with_ImageGenerator.ipynb
flowers datasethttps://www.kaggle.com/alxmamaev/flowers-recognition
Caltech-101 datasethttp://www.vision.caltech.edu/Image_Datasets/Caltech101/
Here is the Notebookhttps://github.com/tirthajyoti/Deep-learning-with-Python/blob/master/Notebooks/Keras_flow_from_directory.ipynb
https://github.com/samaa/Deep-learning-with-Python/tree/master#transfer-learning
transfer learninghttps://machinelearningmastery.com/transfer-learning-for-deep-learning/
Here is the Notebookhttps://github.com/tirthajyoti/Deep-learning-with-Python/blob/master/Notebooks/Transfer_learning_CIFAR.ipynb
Inception v3 modelhttps://www.analyticsvidhya.com/blog/2018/10/understanding-inception-network-from-scratch/
Here is the Notebookhttps://github.com/tirthajyoti/Deep-learning-with-Python/blob/master/Notebooks/Transfer-learning-InceptionV3.ipynb
https://github.com/samaa/Deep-learning-with-Python/tree/master#activation-maps
Here is the Notebookhttps://github.com/tirthajyoti/Deep-learning-with-Python/blob/master/Notebooks/Keract-activation.ipynb
https://github.com/samaa/Deep-learning-with-Python/tree/master#adding-object-oriented-programming-style-to-deep-learning-workflow
Object-oriented Programming (OOP)https://realpython.com/python3-object-oriented-programming/
Here is the Notebookhttps://github.com/tirthajyoti/Computer_vision/blob/master/Notebooks/OOP_principle_deep_learning.ipynb
https://github.com/samaa/Deep-learning-with-Python/tree/master#keras-callbacks-using-resnet
ResNethttps://medium.com/@14prakash/understanding-and-implementing-architectures-of-resnet-and-resnext-for-state-of-the-art-image-cf51669e1624
CIFAR-10 datasethttps://www.cs.toronto.edu/~kriz/cifar.html
Here is the Notebookhttps://github.com/tirthajyoti/Deep-learning-with-Python/blob/master/Notebooks/ResNet-on-CIFAR10.ipynb
https://github.com/samaa/Deep-learning-with-Python/tree/master#simple-rnn
Here is the Notebookhttps://github.com/tirthajyoti/Deep-learning-with-Python/blob/master/Notebooks/SimpleRNN-time-series.ipynb
https://github.com/samaa/Deep-learning-with-Python/tree/master#text-generation-using-lstm
LSTM networkhttps://colah.github.io/posts/2015-08-Understanding-LSTMs/
Here is the Notebookhttps://github.com/tirthajyoti/Deep-learning-with-Python/blob/master/Notebooks/LSTM_text_gen_Dickens.ipynb
https://github.com/samaa/Deep-learning-with-Python/tree/master#bi-directional-lstm-for-sentiment-classification
Bi-directional LSTM with embeddinghttps://machinelearningmastery.com/develop-bidirectional-lstm-sequence-classification-python-keras/
Here is the Notebookhttps://github.com/tirthajyoti/Deep-learning-with-Python/blob/master/Notebooks/LSTM_bidirectional_IMDB_data.ipynb
https://github.com/samaa/Deep-learning-with-Python/tree/master#generative-adversarial-network-gan
Here is the Notebookhttps://github.com/tirthajyoti/Deep-learning-with-Python/blob/master/Notebooks/GAN_1D.ipynb
https://github.com/samaa/Deep-learning-with-Python/tree/master#scikit-learn-wrapper-for-keras
Keras Scikit-learn wrapperhttps://keras.io/scikit-learn-api/
Here is the Notebookhttps://github.com/tirthajyoti/Deep-learning-with-Python/blob/master/Notebooks/Keras_Scikit_Learn_wrapper.ipynb
dl-with-python.readthedocs.io/en/latest/https://dl-with-python.readthedocs.io/en/latest/
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