| 000 | 01773cam a2200277zu 4500 | ||
|---|---|---|---|
| 001 | 88949025 | ||
| 003 | FRCYB88949025 | ||
| 005 | 20250108002827.0 | ||
| 006 | m o d | ||
| 007 | cr un | ||
| 008 | 250108s2019 fr | o|||||0|0|||eng d | ||
| 020 | _a9781683924616 | ||
| 035 | _aFRCYB88949025 | ||
| 040 |
_aFR-PaCSA _ben _c _erda |
||
| 100 | 1 | _aCampesato, Oswald | |
| 245 | 0 | 1 |
_aTensorFlow 2 Pocket Primer _c['Campesato, Oswald'] |
| 264 | 1 |
_bMercury Learning and Information _c2019 |
|
| 300 | _a p. | ||
| 336 |
_btxt _2rdacontent |
||
| 337 |
_bc _2rdamdedia |
||
| 338 |
_bc _2rdacarrier |
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| 650 | 0 | _a | |
| 700 | 0 | _aCampesato, Oswald | |
| 856 | 4 | 0 |
_2Cyberlibris _uhttps://international.scholarvox.com/netsen/book/88949025 _qtext/html _a |
| 520 | _aAs part of thebest-selling Pocket Primer series, thisbook is designed to introducebeginners to basic machine learning algorithms using TensorFlow 2. It isintended to be a fast-paced introduction to various “core” features ofTensorFlow, with code samples that cover machine learning and TensorFlowbasics. A comprehensive appendix contains someKeras-based code samples and the underpinnings of MLPs, CNNs, RNNs, and LSTMs. The material inthe chapters illustrates how to solve a variety of tasks after which you can dofurther reading to deepen your knowledge. Companion files with all of the codesamples are available for downloading from the publisher by emailing proof of purchase to info@merclearning.com.Features:Uses Python for codesamplesCovers TensorFlow 2 APIsand DatasetsIncludes a comprehensiveappendix that covers Keras and advanced topics such as NLPs, MLPs, RNNs, LSTMsFeatures the companion files with all of thesource code examples and figures (download fromthe publisher) | ||
| 999 |
_c78075 _d78075 |
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