소장자료
| LDR | 02565cam a2200000 a | ||
| 001 | 0100442598▲ | ||
| 005 | 20200106152803▲ | ||
| 007 | ta ▲ | ||
| 008 | 180522s2020 maua b 001 0 eng c▲ | ||
| 020 | ▼a9780135116692 (pbk.)▲ | ||
| 020 | ▼a0135116694 (pbk.)▲ | ||
| 035 | ▼a(KERIS)REF000019163907▲ | ||
| 040 | ▼aYDX▼beng▼cYDX▼dBDX▼dOCLCQ▼dJRZ▼dABC▼dYDXIT▼dOCLCF▼d221016▲ | ||
| 082 | 0 | 4 | ▼a006.3/1▼223▲ |
| 090 | ▼a006.31▼bK93d▲ | ||
| 100 | 1 | ▼aKrohn, Jon.▲ | |
| 245 | 1 | 0 | ▼aDeep learning illustrated :▼ba visual, interactive guide to artificial intelligence /▼cJon Krohn, with Grant Beyleveld and Aglaé Bassens.▲ |
| 260 | ▼aBoston :▼bAddison-Wesley,▼c2020.▲ | ||
| 300 | ▼axxxviii, 368 p. :▼bill. ;▼c24 cm.▲ | ||
| 490 | 0 | ▼aAddison Wesley data & analytics series▲ | |
| 504 | ▼aIncludes bibliographical references and index.▲ | ||
| 505 | 0 | ▼aIntroducing deep learning. Biological and machine vision -- Human and machine language -- Machine art -- Game-playing machines -- Essential theory illustrated. The (Code) cart ahead of the (theory) horse -- Artificial neurons detecting hot dogs -- Artificial neural networks -- Training deep networks -- Improving deep networks -- Interactive applications of deep learning. Machine vision -- Natural language processing -- Generative adversarial networks -- Deep reinforcement learning -- You and AI. Moving forward with your own deep learning projects -- Aooendix A: Formal neural network notation -- Appendix B: Backpropagation -- Appendix C: PyTorch.▲ | |
| 520 | ▼aDeep learning is transforming software, facilitating powerful new artificial intelligence capabilities, and driving unprecedented algorithm performance. "Deep learning illustrated" is uniquely intuitive and offers a complete introduction to the discipline's techniques. Packed with full-color figures and easy-to-follow code, it sweeps away the complexity of building deep learning models, making the subject approachable and fun to learn.▲ | ||
| 650 | 0 | ▼aMachine learning.▲ | |
| 650 | 0 | ▼aArtificial intelligence.▲ | |
| 650 | 0 | ▼aNatural language processing (Computer science)▲ | |
| 700 | 1 | ▼aBeyleveld, Grant.▲ | |
| 700 | 1 | ▼aBassens, Aglaé.▲ |
Deep learning illustrated :a visual, interactive guide to artificial intelligence
자료유형
국외단행본
서명/책임사항
Deep learning illustrated : a visual, interactive guide to artificial intelligence / Jon Krohn, with Grant Beyleveld and Aglaé Bassens.
발행사항
Boston : Addison-Wesley , 2020.
형태사항
xxxviii, 368 p. : ill. ; 24 cm.
서지주기
Includes bibliographical references and index.
내용주기
Introducing deep learning. Biological and machine vision -- Human and machine language -- Machine art -- Game-playing machines -- Essential theory illustrated. The (Code) cart ahead of the (theory) horse -- Artificial neurons detecting hot dogs -- Artificial neural networks -- Training deep networks -- Improving deep networks -- Interactive applications of deep learning. Machine vision -- Natural language processing -- Generative adversarial networks -- Deep reinforcement learning -- You and AI. Moving forward with your own deep learning projects -- Aooendix A: Formal neural network notation -- Appendix B: Backpropagation -- Appendix C: PyTorch.
요약주기
Deep learning is transforming software, facilitating powerful new artificial intelligence capabilities, and driving unprecedented algorithm performance. "Deep learning illustrated" is uniquely intuitive and offers a complete introduction to the discipline's techniques. Packed with full-color figures and easy-to-follow code, it sweeps away the complexity of building deep learning models, making the subject approachable and fun to learn.
ISBN
9780135116692 (pbk.) 0135116694 (pbk.)
청구기호
006.31 K93d
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