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Title: GitHub - tensorbricktech/tensorflow-deep-learning: All course materials for the Zero to Mastery Deep Learning with TensorFlow course.

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Description: All course materials for the Zero to Mastery Deep Learning with TensorFlow course. - tensorbricktech/tensorflow-deep-learning

Open Graph Description: All course materials for the Zero to Mastery Deep Learning with TensorFlow course. - tensorbricktech/tensorflow-deep-learning

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	https://patch-diff.githubusercontent.com/tensorbricktech/tensorflow-deep-learning#contents-of-this-page
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Milestone Project 1: Food Vision 🍔👁	https://github.com/mrdbourke/tensorflow-deep-learning/blob/main/07_food_vision_milestone_project_1.ipynb
Template (your challenge)	https://github.com/mrdbourke/tensorflow-deep-learning/blob/main/extras/TEMPLATE_07_food_vision_milestone_project_1.ipynb
feature_extraction_mixed_precision_efficientnet_model	https://storage.googleapis.com/ztm_tf_course/food_vision/07_efficientnetb0_feature_extract_model_mixed_precision.zip
fine_tuned_mixed_precision_efficientnet_model	https://storage.googleapis.com/ztm_tf_course/food_vision/07_efficientnetb0_fine_tuned_101_classes_mixed_precision.zip
Go to exercises & extra-curriculum	https://github.com/mrdbourke/tensorflow-deep-learning#-07-milestone-project-1--food-vision-big-exercises
Go to slides	https://github.com/mrdbourke/tensorflow-deep-learning/blob/main/slides/07_milestone_project_1_food_vision.pdf
TensorFlow NLP Fundamentals	https://github.com/mrdbourke/tensorflow-deep-learning/blob/main/08_introduction_to_nlp_in_tensorflow.ipynb
diaster_or_no_diaster_tweets	https://storage.googleapis.com/ztm_tf_course/nlp_getting_started.zip
USE_feature_extractor_model	https://storage.googleapis.com/ztm_tf_course/08_model_6_USE_feature_extractor.zip
Go to exercises & extra-curriculum	https://github.com/mrdbourke/tensorflow-deep-learning#-08-introduction-to-nlp-natural-language-processing-in-tensorflow-exercises
Go to slides	https://github.com/mrdbourke/tensorflow-deep-learning/blob/main/slides/08_natural_language_processing_in_tensorflow.pdf
Milestone Project 2: SkimLit 📄🔥	https://github.com/mrdbourke/tensorflow-deep-learning/blob/main/09_SkimLit_nlp_milestone_project_2.ipynb
pubmed_RCT_200k_dataset	https://github.com/Franck-Dernoncourt/pubmed-rct.git
skimlit_tribrid_model	https://storage.googleapis.com/ztm_tf_course/skimlit/skimlit_tribrid_model.zip
Go to exercises & extra-curriculum	https://github.com/mrdbourke/tensorflow-deep-learning#-09-milestone-project-2-skimlit--exercises
Go to slides	https://github.com/mrdbourke/tensorflow-deep-learning/blob/main/slides/09_milestone_project_2_skimlit.pdf
TensorFlow Time Series Fundamentals & Milestone Project 3: BitPredict 💰📈 (videos coming soon)	https://github.com/mrdbourke/tensorflow-deep-learning/blob/main/10_time_series_forecasting_in_tensorflow.ipynb
	https://patch-diff.githubusercontent.com/tensorbricktech/tensorflow-deep-learning#course-structure
	https://patch-diff.githubusercontent.com/tensorbricktech/tensorflow-deep-learning#should-you-do-this-course
	https://patch-diff.githubusercontent.com/tensorbricktech/tensorflow-deep-learning#prerequisites
Zero to Mastery beginner-friendly machine learning course	https://dbourke.link/ZTMMLcourse
	https://patch-diff.githubusercontent.com/tensorbricktech/tensorflow-deep-learning#-exercises---extra-curriculum
	https://patch-diff.githubusercontent.com/tensorbricktech/tensorflow-deep-learning#-00-tensorflow-fundamentals-exercises
	https://patch-diff.githubusercontent.com/tensorbricktech/tensorflow-deep-learning#-00-tensorflow-fundamentals-extra-curriculum
list of TensorFlow Python APIs	https://www.tensorflow.org/api_docs/python/
TensorFlow 2.x quick start for beginners	https://www.tensorflow.org/tutorials/quickstart/beginner
"What's a tensor?"	https://www.youtube.com/watch?v=f5liqUk0ZTw
	https://patch-diff.githubusercontent.com/tensorbricktech/tensorflow-deep-learning#-01-neural-network-regression-with-tensorflow-exercises
Adam	https://www.tensorflow.org/api_docs/python/tf/keras/optimizers/Adam
Boston pricing dataset	https://www.tensorflow.org/api_docs/python/tf/keras/datasets/boston_housing/load_data
tf.keras.datasets	https://www.tensorflow.org/api_docs/python/tf/keras/datasets
	https://patch-diff.githubusercontent.com/tensorbricktech/tensorflow-deep-learning#-01-neural-network-regression-with-tensorflow-extra-curriculum
MIT introduction deep learning lecture 1	https://youtu.be/njKP3FqW3Sk
Chapter 1 of Neural Networks and Deep Learning	http://neuralnetworksanddeeplearning.com/chap1.html
Lion Bridge's collection of datasets	https://lionbridge.ai/datasets/
Kaggle's datasets	https://www.kaggle.com/data
	https://patch-diff.githubusercontent.com/tensorbricktech/tensorflow-deep-learning#-02-neural-network-classification-with-tensorflow-exercises
TensorFlow Playground	https://playground.tensorflow.org/
TensorFlow Playground diagram	https://playground.tensorflow.org/#activation=relu&batchSize=10&dataset=circle®Dataset=reg-plane&learningRate=0.001®ularizationRate=0&noise=0&networkShape=6,6,6,6,6&seed=0.51287&showTestData=false&discretize=false&percTrainData=50&x=true&y=true&xTimesY=false&xSquared=false&ySquared=false&cosX=false&sinX=false&cosY=false&sinY=false&collectStats=false&problem=classification&initZero=false&hideText=false®ularization_hide=true&discretize_hide=true®ularizationRate_hide=true&percTrainData_hide=true&dataset_hide=true&problem_hide=true&noise_hide=true&batchSize_hide=true
	https://raw.githubusercontent.com/mrdbourke/tensorflow-deep-learning/main/images/02-tensorflow-playground-replication-exercise.png
TensorFlow Playground website	https://playground.tensorflow.org/#activation=relu&batchSize=10&dataset=circle®Dataset=reg-plane&learningRate=0.001®ularizationRate=0&noise=0&networkShape=6,6,6,6,6&seed=0.51287&showTestData=false&discretize=false&percTrainData=50&x=true&y=true&xTimesY=false&xSquared=false&ySquared=false&cosX=false&sinX=false&cosY=false&sinY=false&collectStats=false&problem=classification&initZero=false&hideText=false®ularization_hide=true&discretize_hide=true®ularizationRate_hide=true&percTrainData_hide=true&dataset_hide=true&problem_hide=true&noise_hide=true&batchSize_hide=true
make_moons()	https://scikit-learn.org/stable/modules/generated/sklearn.datasets.make_moons.html
classifcation tutorial in the TensorFlow documentation	https://www.tensorflow.org/tutorials/keras/classification
TensorFlow's	https://www.tensorflow.org/api_docs/python/tf/keras/activations/softmax
softmax activation function	https://en.wikipedia.org/wiki/Softmax_function
	https://patch-diff.githubusercontent.com/tensorbricktech/tensorflow-deep-learning#-02-neural-network-classification-with-tensorflow-extra-curriculum
Gradient descent, how neural networks learn	https://www.youtube.com/watch?v=IHZwWFHWa-w
But what is a Neural Network?	https://youtu.be/aircAruvnKk
MIT's introduction to deep learning lecture 1	https://youtu.be/njKP3FqW3Sk
Michael Nielsen's Neural Networks and Deep Learning book	http://neuralnetworksanddeeplearning.com/index.html
ML-Glossary documentation on activation functions	https://ml-cheatsheet.readthedocs.io/en/latest/activation_functions.html
	https://patch-diff.githubusercontent.com/tensorbricktech/tensorflow-deep-learning#-03-computer-vision--convolutional-neural-networks-in-tensorflow-exercises
CNN explainer website	https://poloclub.github.io/cnn-explainer/
CNN explainer	https://poloclub.github.io/cnn-explainer/
	https://patch-diff.githubusercontent.com/tensorbricktech/tensorflow-deep-learning#-03-computer-vision--convolutional-neural-networks-in-tensorflow-extra-curriculum
MIT's Introduction to Deep Computer Vision	https://www.youtube.com/watch?v=iaSUYvmCekI&list=PLtBw6njQRU-rwp5__7C0oIVt26ZgjG9NI&index=3
mini-batch gradient descent	https://youtu.be/-_4Zi8fCZO4
CS231n Convolutional Neural Networks for Visual Recognition	https://cs231n.github.io/convolutional-networks/
"A guide to convolution arithmetic for deep learning"	https://arxiv.org/pdf/1603.07285.pdf
TensorFlow Data Augmentation Tutorial	https://www.tensorflow.org/tutorials/images/data_augmentation
	https://patch-diff.githubusercontent.com/tensorbricktech/tensorflow-deep-learning#-04-transfer-learning-in-tensorflow-part-1-feature-extraction-exercises
mobilenet_v2_100_224/feature_vector	https://tfhub.dev/google/imagenet/mobilenet_v2_100_224/feature_vector/4
sotabench.com	https://www.sotabench.com
	https://patch-diff.githubusercontent.com/tensorbricktech/tensorflow-deep-learning#-04-transfer-learning-in-tensorflow-part-1-feature-extraction-extra-curriculum
TensorFlow Transfer Learning Guide	https://www.tensorflow.org/tutorials/images/transfer_learning
Transfer Learning with TensorFlow Hub tutorial	https://www.tensorflow.org/tutorials/images/transfer_learning_with_hub
fine-tuning a TensorFlow Hub model tutorial	https://www.tensorflow.org/hub/tf2_saved_model#fine-tuning
experiment tracking with Weights & Biases	https://www.wandb.com/experiment-tracking
	https://patch-diff.githubusercontent.com/tensorbricktech/tensorflow-deep-learning#-05-transfer-learning-in-tensorflow-part-2-fine-tuning-exercises
tf.keras.applications.EfficientNetB0	https://www.tensorflow.org/api_docs/python/tf/keras/applications/EfficientNetB0
ModelCheckpoint	https://www.tensorflow.org/api_docs/python/tf/keras/callbacks/ModelCheckpoint
	https://patch-diff.githubusercontent.com/tensorbricktech/tensorflow-deep-learning#-05-transfer-learning-in-tensorflow-part-2-fine-tuning-extra-curriculum
documentation on data augmentation	https://www.tensorflow.org/tutorials/images/data_augmentation
ULMFit paper	https://arxiv.org/abs/1801.06146
TensorFlow callback	https://www.tensorflow.org/api_docs/python/tf/keras/callbacks/LearningRateScheduler
	https://patch-diff.githubusercontent.com/tensorbricktech/tensorflow-deep-learning#-06-transfer-learning-in-tensorflow-part-3-scaling-up-exercises
mixed_precision	https://www.tensorflow.org/guide/mixed_precision
	https://patch-diff.githubusercontent.com/tensorbricktech/tensorflow-deep-learning#-06-transfer-learning-in-tensorflow-part-3-scaling-up-extra-curriculum
EarlyStopping callback	https://www.tensorflow.org/api_docs/python/tf/keras/callbacks/EarlyStopping
Streamlit	https://www.streamlit.io/
	https://patch-diff.githubusercontent.com/tensorbricktech/tensorflow-deep-learning#-07-milestone-project-1--food-vision-big-exercises
Milestone Project 1 Template notebook	https://github.com/mrdbourke/tensorflow-deep-learning/blob/main/extras/TEMPLATE_07_food_vision_milestone_project_1.ipynb
Transfer Learning Part 3: Scaling up	https://github.com/mrdbourke/tensorflow-deep-learning/blob/main/06_transfer_learning_in_tensorflow_part_3_scaling_up.ipynb
EfficientNetB4	https://www.tensorflow.org/api_docs/python/tf/keras/applications/EfficientNetB4
	https://patch-diff.githubusercontent.com/tensorbricktech/tensorflow-deep-learning#-07-milestone-project-1--food-vision-big-extra-curriculum
learning rate scheduler callback	https://www.tensorflow.org/api_docs/python/tf/keras/callbacks/LearningRateScheduler
improving TensorFlow data loading performance	https://www.tensorflow.org/guide/data_performance
TensorFlow mixed precision training	https://www.tensorflow.org/guide/mixed_precision
	https://patch-diff.githubusercontent.com/tensorbricktech/tensorflow-deep-learning#-08-introduction-to-nlp-natural-language-processing-in-tensorflow-exercises
Keras Sequential API	https://www.tensorflow.org/api_docs/python/tf/keras/Sequential
make a submission to the Kaggle competition	https://www.kaggle.com/c/nlp-getting-started/data
	https://patch-diff.githubusercontent.com/tensorbricktech/tensorflow-deep-learning#-08-introduction-to-nlp-natural-language-processing-in-tensorflow-extra-curriculum
A Simple Introduction to Natural Language Processing	https://becominghuman.ai/a-simple-introduction-to-natural-language-processing-ea66a1747b32
How to solve 90% of NLP problems: a step-by-step guide	https://blog.insightdatascience.com/how-to-solve-90-of-nlp-problems-a-step-by-step-guide-fda605278e4e
MIT's Recurrent Neural Networks lecture	https://youtu.be/SEnXr6v2ifU
word embeddings page on the TensorFlow website	https://www.tensorflow.org/tutorials/text/word_embeddings
the TensorFlow RNN guide	https://www.tensorflow.org/guide/keras/rnn
TensorFlow text loading tutorial	https://www.tensorflow.org/tutorials/load_data/text
Reading text files with Python	https://realpython.com/read-write-files-python/
Standford's Natural Language Processing with Deep Learning lecture notes Part 1	https://web.stanford.edu/class/cs224n/readings/cs224n-2019-notes01-wordvecs1.pdf
CS224n	http://web.stanford.edu/class/cs224n/
The Unreasonable Effectiveness of RNNs	https://karpathy.github.io/2015/05/21/rnn-effectiveness/
Text Classification with NLP: Tf-Idf vs Word2Vec vs BERT	https://towardsdatascience.com/text-classification-with-nlp-tf-idf-vs-word2vec-vs-bert-41ff868d1794
What are word embeddings?	https://machinelearningmastery.com/what-are-word-embeddings/
Attention mechanisms	https://jalammar.github.io/visualizing-neural-machine-translation-mechanics-of-seq2seq-models-with-attention/
Transformer architectures	http://jalammar.github.io/illustrated-transformer/
HuggingFace Models (formerly HuggingFace Transformers) library	https://huggingface.co/models/
	https://patch-diff.githubusercontent.com/tensorbricktech/tensorflow-deep-learning#-09-milestone-project-2-skimlit--exercises
tf.keras.callbacks.ModelCheckpoint	https://www.tensorflow.org/api_docs/python/tf/keras/callbacks/ModelCheckpoint
tf.keras.callbacks.EarlyStopping	https://www.tensorflow.org/api_docs/python/tf/keras/callbacks/EarlyStopping
Keras guide on using pretrained GloVe embeddings	https://keras.io/examples/nlp/pretrained_word_embeddings/
Embedding	https://www.tensorflow.org/api_docs/python/tf/keras/layers/Embedding
TensorFlow Hub BERT PubMed expert	https://tfhub.dev/google/experts/bert/pubmed/2
TensorFlow Hub guide	https://tfhub.dev/google/experts/bert/pubmed/2
https://arxiv.org/pdf/1710.06071.pdf	https://arxiv.org/pdf/1710.06071.pdf
Baclofen promotes alcohol abstinence in alcohol dependent cirrhotic patients with hepatitis C virus (HCV) infection	https://pubmed.ncbi.nlm.nih.gov/22244707/
	https://patch-diff.githubusercontent.com/tensorbricktech/tensorflow-deep-learning#-09-milestone-project-2-skimlit--extra-curriculum
spaCy's advanced NLP course	https://course.spacy.io/en/
Google's Machine Learning Course for text classification	https://developers.google.com/machine-learning/guides/text-classification
TensorFlow guide for different methods to training a model with imbalanced classes	https://www.tensorflow.org/tutorials/structured_data/imbalanced_data
	https://patch-diff.githubusercontent.com/tensorbricktech/tensorflow-deep-learning#what-this-course-is-missing
	https://patch-diff.githubusercontent.com/tensorbricktech/tensorflow-deep-learning#extensions-possible-places-to-go-after-the-course
https://www.deeplearning.ai	https://www.deeplearning.ai
https://www.oreilly.com/library/view/hands-on-machine-learning/9781492032632/	https://www.oreilly.com/library/view/hands-on-machine-learning/9781492032632/
https://fullstackdeeplearning.com	https://fullstackdeeplearning.com
https://www.fast.ai	https://www.fast.ai
Getting Experience	https://www.mrdbourke.com/how-can-a-beginner-data-scientist-like-me-gain-experience/
	https://patch-diff.githubusercontent.com/tensorbricktech/tensorflow-deep-learning#ask-questions
add a discussion	https://github.com/mrdbourke/tensorflow-deep-learning/discussions
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https://github.com/mrdbourke/tensorflow-deep-learning/blob/main/10_time_series_forecasting_in_tensorflow.ipynb	https://github.com/mrdbourke/tensorflow-deep-learning/blob/main/10_time_series_forecasting_in_tensorflow.ipynb
https://www.twitch.tv/mrdbourke	https://www.twitch.tv/mrdbourke
see the makeshift closet studio	https://raw.githubusercontent.com/mrdbourke/tensorflow-deep-learning/main/images/misc-studio-setup.jpeg
https://github.com/mrdbourke/tensorflow-deep-learning/projects/1	https://github.com/mrdbourke/tensorflow-deep-learning/projects/1
https://github.com/mrdbourke/tensorflow-deep-learning/discussions	https://github.com/mrdbourke/tensorflow-deep-learning/discussions
	https://patch-diff.githubusercontent.com/tensorbricktech/tensorflow-deep-learning#todo
GitHub Discussions	https://github.com/vercel/vercel/discussions/3874
Alvaro	https://github.com/alvarobartt
course materials	https://github.com/mrdbourke/tensorflow-deep-learning#course-materials
.video_notebooks/	https://github.com/mrdbourke/tensorflow-deep-learning/tree/main/video_notebooks
	https://patch-diff.githubusercontent.com/tensorbricktech/tensorflow-deep-learning#log
https://twitch.tv/mrdbourke	https://twitch.tv/mrdbourke
notebook 10	https://github.com/mrdbourke/tensorflow-deep-learning/blob/main/10_time_series_forecasting_in_tensorflow.ipynb
notebook 09: SkimLit	https://github.com/mrdbourke/tensorflow-deep-learning/blob/main/09_SkimLit_nlp_milestone_project_2.ipynb
10 hours in part 1	https://youtu.be/tpCFfeUEGs8
4 hours in part 2	https://youtu.be/ZUKz4125WNI
see them here	https://github.com/mrdbourke/tensorflow-deep-learning/blob/main/slides/06_transfer_learning_with_tensorflow_part_3_scaling_up.pdf
Stanford's CS329s	https://stanford-cs329s.github.io/syllabus.html
see the full tutorial materials	https://github.com/mrdbourke/cs329s-ml-deployment-tutorial
Stanford's CS329s	https://stanford-cs329s.github.io/syllabus.html
nice table	https://github.com/mrdbourke/tensorflow-deep-learning#course-materials
recording studio in closet	https://raw.githubusercontent.com/mrdbourke/tensorflow-deep-learning/main/images/misc-studio-setup.jpeg
dbourke.link/ZTMTFcourse	https://dbourke.link/ZTMTFcourse
Readme	https://patch-diff.githubusercontent.com/tensorbricktech/tensorflow-deep-learning#readme-ov-file
MIT license	https://patch-diff.githubusercontent.com/tensorbricktech/tensorflow-deep-learning#MIT-1-ov-file
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