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220816s2021 mauade 001 0 eng d |
020 |
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|a9780137470358|cUS $59.99 (pbk.)
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040 |
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|aNOU|beng
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050 |
4
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|aQ325.5|bE36 2021
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095 |
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|aLB|bLBF|cE020294|dQ325.5|eE36|fwill|n1,533|pBook|y2021
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100 |
1
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|aEkman, Magnus,|eauthor
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245 |
10
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|aLearning Deep Learning:|bTHEORY AND PRACTICE OF NEURAL NETWORKS, COMPUTER VISION, NATURAL LANGUAGE PROCESSING, AND TRANSFORMERS USING TENSORFLOW/|cMagnus Ekman
|
246 |
10
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|aTHEORY AND PRACTICE OF NEURAL NETWORKS, COMPUTER VISION, NATURAL LANGUAGE PROCESSING, AND TRANSFORMERS USING TENSORFLOW
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250 |
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|aFirst Edition
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260 |
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|aBoston, MA:|bAddison-Wesley Professional,|c2021
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300 |
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|a695 pages:|billustrations, charts, plans;|c23 cm.
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500 |
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|aAPPENDIX:Appendix A Linear Regression and Linear Classifiers、Appendix B Object Detection and Segmentation、Appendix C Word Embeddings Beyond word2vec and Glove、Appendix D GPT, BERT, and RoBERTa、Appendix E Newton-Raphson versus Gradient Descent、Appendix F Matrix Implementation of Digit Classification Network、Appendix G Relating Convolutional Layers to Mathematical Convolution、Appendix H Gated Recurrent Units、Appendix I Setting Up a Development Environment、Appendix J Cheat Sheets
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504 |
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|aIncludes bibliographical references and index.
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650 |
0
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|aMachine learning
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650 |
0
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|aNeural networks (Computer science)
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650 |
0
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|aComputer vision
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650 |
0
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|aNatural language processing (Computer science)
|