Screen LibraryDeep learning /
Saved in:
| Main Authors: | |
|---|---|
| Group Author: | ; |
| Published: |
The MIT Press,
|
| Publisher Address: | Cambridge, Massachusetts : |
| Publication Dates: | [2016] |
| Literature type: | Book |
| Language: | English |
| Series: |
Adaptive computation and machine learning
|
| Subjects: | |
| Carrier Form: | xxii, 775 pages : illustrations (some color) ; 24 cm. |
| Bibliography: | Includes bibliographical references (pages [711]-766) and index. |
| ISBN: |
9780262035613 0262035618 |
| Index Number: | Q325 |
| CLC: | TP181 |
| Call Number: | TP181/G651 |
| Contents: | Introduction -- APPLIED MATH AND MACHINE LEARNING BASICS -- Linear algebra -- Probability and information theory -- Numerical computation -- Machine learning basics -- DEEP NETWORKS: MODERN PRACTICES -- Deep feedforward networks -- Regularization for deep learning -- Optimization for training deep models -- Convolutional networks -- Sequence modeling: recurrent and recursive nets -- Practical methodology -- Applications -- DEEP LEARNING RESEARCH -- Linear factor models -- Autoencoders -- Representation learning -- Structured probabilistic models for deep learning -- Monte Carlo methods -- Confronting the partition function -- Approximate inference -- Deep generative models. |