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Deep Learning with TensorFlow and Keras – 3rd edition - Third Edition

You're reading from  Deep Learning with TensorFlow and Keras – 3rd edition - Third Edition

Product type Book
Published in Oct 2022
Publisher Packt
ISBN-13 9781803232911
Pages 698 pages
Edition 3rd Edition
Languages
Authors (3):
Amita Kapoor Amita Kapoor
Profile icon Amita Kapoor
Antonio Gulli Antonio Gulli
Profile icon Antonio Gulli
Sujit Pal Sujit Pal
Profile icon Sujit Pal
View More author details

Table of Contents (23) Chapters

Preface 1. Neural Network Foundations with TF 2. Regression and Classification 3. Convolutional Neural Networks 4. Word Embeddings 5. Recurrent Neural Networks 6. Transformers 7. Unsupervised Learning 8. Autoencoders 9. Generative Models 10. Self-Supervised Learning 11. Reinforcement Learning 12. Probabilistic TensorFlow 13. An Introduction to AutoML 14. The Math Behind Deep Learning 15. Tensor Processing Unit 16. Other Useful Deep Learning Libraries 17. Graph Neural Networks 18. Machine Learning Best Practices 19. TensorFlow 2 Ecosystem 20. Advanced Convolutional Neural Networks 21. Other Books You May Enjoy
22. Index

What is TensorFlow (TF)?

TensorFlow is a powerful open-source software library developed by the Google Brain Team for deep neural networks, the topic covered in this book. It was first made available under the Apache 2.0 License in November 2015 and has since grown rapidly; as of May 2022, its GitHub repository (https://github.com/tensorflow/tensorflow) has more than 129,000 commits, with roughly 3,100 contributors. This in itself provides a measure of the popularity of TensorFlow.

Let us first learn what exactly TensorFlow is and why it is so popular among deep neural network researchers and engineers. Google calls it “an open-source software library for machine intelligence,” but since there are so many other deep learning libraries like PyTorch (https://pytorch.org/), Caffe (https://caffe.berkeleyvision.org/), and MXNet (https://mxnet.apache.org/), what makes TensorFlow special? Most other deep learning libraries, like TensorFlow, have auto-differentiation (a...

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