| Description |
xxxviii, 368 pages : illustrations (some color) ; 24 cm |
| Contents |
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 |
| Bibliography |
Includes bibliographical references and index |
| Summary |
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 |
| Subject |
Machine learning.
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Artificial intelligence.
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Natural language processing (Computer science)
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| Added Author |
Beyleveld, Grant, author.
|
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Bassens, Aglaé, author.
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| ISBN |
9780135116692 |
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0135116694 |
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