GitHub - sayakpaul/TF-2.0-Hacks: Contains my explorations of TensorFlow 2.x

This respository contains my exploration of the newly released TensorFlow 2.0. TensorFlow team introduced a lot of new and useful changes in this release; automatic mixed precision training, flexible custom training, distributed GPU training, enhanced ops for the high-level Keras API are some of my personal favorites. You can see all of the new changes here.

Apart from the official TensorFlow 2.0 guides and the tutorials, I highly recommend the following resources if you want to learn more about TensorFlow 2.0 (updated on an ad-hoc basis):

tf.keras for Researchers: Crash Course by Francois Chollet
TensorFlow 2.0 + Keras Crash Course by Francois Chollet
Introduction to Keras for Researchers by Francois Chollet
Introduction to Keras for Engineers by Francois Chollet
Inside TensorFlow: tf.Keras (part 1) by Francois Chollet
Inside TensorFlow: tf.Keras (part 2) by Francois Chollet
keras.io exmples
keras.io guides
Deep Learning with Python (second edition) by Francois Chollet
Introduction to TensorFlow in Python by DataCamp (Instructor: Isaiah Hull)
Ten Important Updates from TensorFlow 2.0 (article by me)
Hands-On Machine Learning with Scikit-Learn, Keras and TensorFlow (best-selling book by Aurélien Géron)
Deep Learning for Computer Vision with Python by Adrian Rosebrock
Intro to TensorFlow for Deep Learning by Udacity (Instructors: Magnus Hyttsten, Juan Delgado, Paige Bailey)
Intro to Machine Learning with TensorFlow Nanodegree
Practical Machine Learning with Tensorflow by NPTEL (Instructor: Ashish Tendulkar)
Hands-On Neural Networks with TensorFlow 2.0 (book by Paolo Galeone)
DeepLearning.AI TensorFlow Developer Professional Certificate (previously known as TensorFlow in Practice)
TensorFlow: Data and Deployment Specialization by deeplearning.ai
TensorFlow 2 for Deep Learning Specialization by Imperial College of London
Keras vs. tf.keras: What’s the difference in TensorFlow 2.0? by PyImageSearch
Introduction to TensorFlow Lite
Intro to Machine Learning with TensorFlow Nanodegree
freeCodeCamp's Python Machine Learning course with TensorFlow 2.0
TensorFlow: Advanced Techniques Specialization by deeplearning.ai

Name		Name	Last commit message	Last commit date
Latest commit History 162 Commits
Bayesian_Search_W&B		Bayesian_Search_W&B
Character_Level_LSTM_Model		Character_Level_LSTM_Model
DSC_NSEC		DSC_NSEC
GradientTape, Model Subclassing Experiments		GradientTape, Model Subclassing Experiments
Hyperparameter Sweeps with TF 2.0 & W&B		Hyperparameter Sweeps with TF 2.0 & W&B
Keras_tuner_with_TF_2_0		Keras_tuner_with_TF_2_0
ML GDE Dev Challenge		ML GDE Dev Challenge
NALU in TF 2.0		NALU in TF 2.0
Predicting publisher's name from an article with TF 2.0		Predicting publisher's name from an article with TF 2.0
Speed comparison between TF 1.x and TF 2.0		Speed comparison between TF 1.x and TF 2.0
tf.data exploration		tf.data exploration
A_tale_of_quantization.ipynb		A_tale_of_quantization.ipynb
Aerial Cactus Identification using TFHub.ipynb		Aerial Cactus Identification using TFHub.ipynb
Basic_AutoEncoder.ipynb		Basic_AutoEncoder.ipynb
Benchmarking_TRT_TFLite.ipynb		Benchmarking_TRT_TFLite.ipynb
Cats_vs_Dogs_TFRecords.ipynb		Cats_vs_Dogs_TFRecords.ipynb
Custom_Image_Classification_EdgeTPU.ipynb		Custom_Image_Classification_EdgeTPU.ipynb
EfficientNet.ipynb		EfficientNet.ipynb
Embedding_Preproc_Functions_in_Models.ipynb		Embedding_Preproc_Functions_in_Models.ipynb
GANs_with_TF_2_0.ipynb		GANs_with_TF_2_0.ipynb
Installing_TensorFlow_Object_Detection_API.ipynb		Installing_TensorFlow_Object_Detection_API.ipynb
Jigsaw Multilingual Toxic Comment Classification.ipynb		Jigsaw Multilingual Toxic Comment Classification.ipynb
LICENSE		LICENSE
NNLM_using_tf_keras.ipynb		NNLM_using_tf_keras.ipynb
Neural_Networks_as_Feature_Extractors.ipynb		Neural_Networks_as_Feature_Extractors.ipynb
Neural_Style_Transfer_(without_TV_loss)_in_TF_2_0.ipynb		Neural_Style_Transfer_(without_TV_loss)_in_TF_2_0.ipynb
Prototypical_Networks_in_TensorFlow_2_0.ipynb		Prototypical_Networks_in_TensorFlow_2_0.ipynb
README.md		README.md
Running inference with a custom TFOD API model.ipynb		Running inference with a custom TFOD API model.ipynb
Simple_CBOW_in_TF_2.0.ipynb		Simple_CBOW_in_TF_2.0.ipynb
TF 2.0 Hack 1.ipynb		TF 2.0 Hack 1.ipynb
TF_2_0_and_cloud_functions.ipynb		TF_2_0_and_cloud_functions.ipynb
Training_a_pets_detector_model_within_minutes_with_TFOD_API.ipynb		Training_a_pets_detector_model_within_minutes_with_TFOD_API.ipynb
Transfer_Learning_EfficientNet.ipynb		Transfer_Learning_EfficientNet.ipynb
Transfer_Learning_with_NSL_and_TF_2_0.ipynb		Transfer_Learning_with_NSL_and_TF_2_0.ipynb
Universal_Sentence_Encoder_using_tf_keras.ipynb		Universal_Sentence_Encoder_using_tf_keras.ipynb
Variational_AutoEncoder.ipynb		Variational_AutoEncoder.ipynb
Weight_Initialization_in_Neural_Nets.ipynb		Weight_Initialization_in_Neural_Nets.ipynb
Weights_Visualization_TensorBoard.ipynb		Weights_Visualization_TensorBoard.ipynb
data2vec_vision_image_classification.ipynb		data2vec_vision_image_classification.ipynb
hf_vision_model_tfserving.ipynb		hf_vision_model_tfserving.ipynb

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