Deep Learning with Python

Description

Summary

Deep Finding out with Python introduces the sector of deep Finding out the use of the Python language and the robust Keras library. Written via Keras writer and Google AI researcher François Chollet, this e-book builds your figuring out via intuitive causes and sensible examples.

Purchase of the print e-book features a unfastened eBook in PDF, Kindle, and ePub codecs from Manning Courses.

About the Technology

Machine Finding out has made exceptional development in up to date years. We went from close to-unusable speech and symbol Reputation, to close-human accuracy. We went from machines that could not beat a major Move participant, to defeating an international champion. At the back of this development is deep Finding out—a mixture of engineering advances, perfect practices, and thought that permits a wealth of up to now unimaginable good packages.

About the Book

Deep Finding out with Python introduces the sector of deep Finding out the use of the Python language and the robust Keras library. Written via Keras writer and Google AI researcher François Chollet, this e-book builds your figuring out via intuitive causes and sensible examples. You can discover difficult ideas and observe with packages in Laptop Imaginative and prescient, herbal-language processing, and generative fashions. By the point you end, You can have the information and fingers-on talents to use deep Finding out for your personal tasks.

What’s Inside

• Deep Finding out from first principles
• Setting up your individual deep-Finding out surroundings
• Image-category models
• Deep Finding out for textual content and sequences
• Neural taste switch, textual content technology, and symbol generation

About the Reader

Readers want intermediate Python talents. No earlier revel in with Keras, TensorFlow, or gadget Finding out is needed.

About the Author

François Chollet works on deep Finding out at Google in Mountain View, CA. He’s the writer of the Keras deep-Finding out library, in addition to a contributor to the TensorFlow gadget-Finding out framework. He additionally does deep-Finding out analysis, with a focal point on Laptop Imaginative and prescient and the applying of gadget Finding out to formal reasoning. His papers were printed at prime meetings within the box, together with the Convention on Laptop Imaginative and prescient and Trend Reputation (CVPR), the Convention and Workshop on Neural Knowledge Processing Programs (NIPS), the World Convention on Finding out Representations (ICLR), and others.

Table of Contents

PART 1 – FUNDAMENTALS OF DEEP LEARNING

1. What is deep Finding out?
2. Before we commence: the mathematical construction blocks of neural networks
3. Getting began with neural networks
4. Fundamentals of gadget learning

PART 2 – DEEP LEARNING IN PRACTICE

5. Deep Finding out for Laptop vision
6. Deep Finding out for textual content and sequences
7. Advanced deep-Finding out perfect practices
8. Generative deep learning
9. Conclusions
10. appendix A – Putting in Keras and its dependencies on Ubuntu
11. appendix B – Working Jupyter notebooks on an EC2 GPU instance