Screen LibraryUnderstanding deep learning /
"This book covers modern deep learning and tackles supervised learning, model architecture, unsupervised learning, and deep reinforcement learning"--
Saved in:
| Main Authors: | |
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| Published: |
The MIT Press,
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| Publisher Address: | Cambridge, Massachusetts : |
| Publication Dates: | [2023] |
| Literature type: | Book |
| Language: | English |
| Subjects: | |
| Summary: |
"This book covers modern deep learning and tackles supervised learning, model architecture, unsupervised learning, and deep reinforcement learning"-- |
| Carrier Form: | xvi, 527 pages : illustrations (chiefly color) ; 24 x 21 cm |
| Bibliography: | Includes bibliographical references (pages [462]-511) and index. |
| ISBN: |
9780262048644 0262048647 |
| Index Number: | Q325 |
| CLC: | TP181 |
| Call Number: | TP181/P957-1 |
| Contents: | Introduction -- Supervised learning -- Shallow neural networks -- Deep neural networks -- Loss functions -- Fitting models -- Gradients and initialization -- Measuring performance -- Regularization -- Convolutional networks -- Residual networks -- Transformers -- Graph neural networks -- Unsupervised learning -- Generative adversarial networks -- Normalizing flows -- Variational autoencoders -- Diffusion models -- Reinforcement learning -- Why does deep learning work? -- Deep learning and ethics -- Notation -- Mathematics -- Probability. |