000			02128nam a22002177a 4500
020			_a9781617296864
041			_aENG
082			_a006.31 _bCHO
100			_aChollet, Francois.
245			_aDeep learning with Python / _cFrancois Chollet.
250			_a2nd ed.
260			_a Island: _bManning Publications, _c2021.
300			_axxiii, 478 pages : _billu; _c23 cm.
504			_aIncludes index.
505			_a1. What is deep learning? -- 2. The mathematical building blocks of neural networks -- 3. Introduction to Keras and TensorFlow -- 4. Getting started with neural networks: classification and regression -- 5. Fundamentals of machine learning -- 6. The universal workflow of machine learning -- 7. Working with Keras: a deep dive -- 8. Introduction to deep learning for computer vision -- 9. Advanced deep learning for computer vision -- 10. Deep learning for timeseries -- 11. Deep learning for text -- 12. Generative deep learning -- 13. Best practices for the real world -- 14. Conclusions.
520			_aRecent innovations in deep learning unlock exciting new software capabilities like automated language translation, image recognition, and more. Deep learning is quickly becoming essential knowledge for every software developer, and modern tools like Keras and TensorFlow put it within your reach-- even if you have no background in mathematics or data science. This book shows you how to get started. "Deep learning with Python, second edition" introduces the field of deep learning using Python and the powerful Keras library. In this revised and expanded new edition, Keras creator François Chollet offers insights for both novice and experienced machine learning practitioners. As you move through this book, you'll build your understanding through intuitive explanations, crisp illustrations, and clear examples. You'll quickly pick up the skills you need to start developing deep-learning applications.-- Source other than the Library of Congress.
650			_aPython (Computer program language)
650			_aMachine learning
650			_aNeural networks (Computer science)
942			_2ddc _cBK
999			_c23156 _d23156