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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

C/G/T processing units

In this section we discuss CPUs, GPUs, and TPUs. Before discussing TPUs, it will be useful for us to review CPUs and GPUs.

CPUs and GPUs

You are probably somewhat familiar with the concept of a CPU, a general-purpose chip sitting in each computer, tablet, and smartphone. CPUs are in charge of all of the computations: from logical controls, to arithmetic, to register operations, to operations with memory, and many others. CPUs are subject to the well-known Moore’s law [1], which states that the number of transistors in a dense integrated circuit doubles about every two years.

Many people believe that we are currently in an era where this trend cannot be sustained for long, and indeed it has already declined during the past decade. Therefore, we need some additional technology if we want to support the demand for faster and faster computation to process the ever-growing amount of data that is available out there.

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