Deep learning illustrated : a visual, interactive guide to artificial intelligence / Jon Krohn, with Grant Beyleveld and Aglaé Bassens
By: Krohn, Jon [author].
Contributor(s): Beyleveld, Grant [author] | Bassens, Aglaé [author].
Series: Publisher: Boston : Addison-Wesley, ©2020Description: 368 p: illustrations (some color) ; 24 cm.Content type: text Media type: unmediated Carrier type: volumeISBN: 9780135116692; 0135116694.Subject(s): Machine learning | Artificial intelligence | Natural language processing (Computer science)Genre/Form: Print books.| Current location | Call number | Status | Date due | Barcode | Item holds |
|---|---|---|---|---|---|
| On Shelf | Q325.5 .K76 2020 (Browse shelf) | Available | AU00000000016274 |
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| Q325.5 .K55 2021 Practical deep learning : a Python-based introduction / | Q325.5 .K568 2018 Machine learning : a concise introduction / | Q325.5 .K57 2021 Machine learning and deep learning using Python and Tensorflow / | Q325.5 .K76 2020 Deep learning illustrated : a visual, interactive guide to artificial intelligence / | Q325.5 .L35 2020 Machine learning design patterns : solutions to common challenges in data preparation, model building, and MLOps / | Q325.5 .L39 2021 Machine Learning for Time Series Forecasting With Python / <br> | Q325.5 .M338 2013 Machine learning : theory and applications / |
Includes bibliographical references and index
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
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