| 000 | 02889cam a2200457 i 4500 | ||
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| 003 | OSt | ||
| 005 | 20250408131939.0 | ||
| 008 | 220110s2021 nyua 001 0 eng d | ||
| 020 | _a9781617296864 | ||
| 020 | _a1617296864 | ||
| 040 | _cAKCL | ||
| 042 | _alccopycat | ||
| 082 | 0 | 4 |
_a006.31 _bCHO-D2 |
| 100 | 1 | _aChollet, François, | |
| 100 | 1 | _eauthor. | |
| 245 | 1 | 0 |
_aDeep Learning with Python / _cFrançois Chollet. |
| 250 | _aSecond edition. | ||
| 260 |
_aNew York: _bManning Publication Co., _c2021 |
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| 264 | 1 |
_aShelter Island : _bManning Publications, _c[2021] |
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| 264 | 4 | _c©2021 | |
| 300 | _axxiii, 478 pages : | ||
| 300 | _c24 cm | ||
| 336 |
_atext _2rdacontent |
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| 336 |
_astill image _2rdacontent |
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| 337 |
_aunmediated _2rdamedia |
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| 338 |
_avolume _2rdacarrier |
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| 500 | _aPrevious edition: 2018. | ||
| 500 | _aIncludes index. | ||
| 505 | 0 | _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.-- | ||
| 520 | _cSource other than the Library of Congress. | ||
| 650 | 0 | _aComputer Science | |
| 650 | 0 | _aComputer Programming | |
| 650 | 0 | _aPython (Computer program language) | |
| 650 | 0 | _aMachine learning. | |
| 650 | 0 | _aNeural networks (Computer science) | |
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_a7 _bcbc _ccopycat _d2 _encip _f20 _gy-gencatlg |
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| 942 | _cREF | ||
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