| 000 | 02366cam a2200349Ii 4500 | ||
|---|---|---|---|
| 001 | 1350599316 | ||
| 003 | OCoLC | ||
| 005 | 20240304141602.0 | ||
| 008 | 220525s2023 enkab b 001 0 eng d | ||
| 015 |
_aGBC295027 _2bnb |
||
| 016 | 7 |
_a020627806 _2Uk |
|
| 020 | _a9781108835084 (hardback) | ||
| 035 | _a.b108906152 | ||
| 035 |
_a(OCoLC)1350599316 _z(OCoLC)1322049214 |
||
| 040 |
_aSNK _beng _erda _cSNK _dOCLCF _dPAU _dYDX _dUKMGB _dEEM _dHUH _dOCLCO _dOSU _dUtOrBLW |
||
| 049 | _aOSUU | ||
| 082 | 0 | 4 |
_a006.31 _223 |
| 100 | 1 |
_aDrori, Iddo. _0http://id.loc.gov/authorities/names/nb2022013367 |
|
| 245 | 1 | 4 |
_aThe science of deep learning / _cIddo Drori |
| 264 | 1 |
_aCambridge : _bCambridge University Press, _c©2023. |
|
| 300 |
_axxii, 338 pages : _billustrations (black and white, and colour), maps (colour) ; _c25 cm. |
||
| 336 |
_atext _btxt _2rdacontent |
||
| 337 |
_aunmediated _bn _2rdamedia |
||
| 338 |
_avolume _bnc _2rdacarrier |
||
| 500 |
_aFormerly CIP. _5Uk |
||
| 504 | _aIncludes bibliographical references (pages 299-334) and index | ||
| 520 | _aThe Science of Deep Learning emerged from courses taught by the author that have provided thousands of students with training and experience for their academic studies, and prepared them for careers in deep learning, machine learning, and artificial intelligence in top companies in industry and academia. The book begins by covering the foundations of deep learning, followed by key deep learning architectures. Subsequent parts on generative models and reinforcement learning may be used as part of a deep learning course or as part of a course on each topic. The book includes state-of-the-art topics such as Transformers, graph neural networks, variational autoencoders, and deep reinforcement learning, with a broad range of applications. The appendices provide equations for computing gradients in backpropagation and optimization, and best practices in scientific writing and reviewing. The text presents an up-to-date guide to the field built upon clear visualizations using a unified notation and equations, lowering the barrier to entry for the reader. The accompanying website provides complementary code and hundreds of exercises with solutions | ||
| 530 | _aAlso issued online | ||
| 650 | 0 |
_aDeep learning (Machine learning) _vTextbooks |
|
| 655 | 7 |
_aTextbooks. _2fast |
|
| 942 |
_2ddc _cBK _n0 |
||
| 999 |
_c484857 _d484857 |
||