Deep Learning: A Visual Approach (Record no. 148442)
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| 000 -LEADER | |
|---|---|
| fixed length control field | 01039nam a22001577a 4500 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
| fixed length control field | 240329b |||||||| |||| 00| 0 eng d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| International Standard Book Number | 9781718500723 |
| 082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER | |
| Classification number | 006.31 |
| Item number | GLA |
| 100 ## - MAIN ENTRY--PERSONAL NAME | |
| Personal name | Glassner, Andrew |
| 9 (RLIN) | 106454 |
| 245 ## - TITLE STATEMENT | |
| Title | Deep Learning: A Visual Approach |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) | |
| Name of publisher, distributor, etc | No Starch Press |
| Date of publication, distribution, etc | 2021 |
| Place of publication, distribution, etc | USA |
| 300 ## - PHYSICAL DESCRIPTION | |
| Extent | 736p |
| 504 ## - BIBLIOGRAPHY, ETC. NOTE | |
| Bibliography, etc | Part I: Foundational Ideas<br/>An Overview of Machine Learning<br/>Essential Statistics<br/>Measuring Performance<br/>Bayes’ Rule<br/>Curves and Surfaces<br/>Information Theory<br/>Part II: Basic Machine Learning<br/>Classification<br/>Training and Testing<br/>Overfitting and Underfitting<br/>Data Preparation<br/>Classifiers<br/>Ensembles<br/>Part III: Deep Learning Basics<br/>Neural Networks<br/>Backpropagation<br/>Optimizers<br/>PART IV: Beyond the Basics<br/>Convolutional Neural Networks<br/>Convnets in Practice<br/>Autoencoders<br/>Recurrent Neural Networks<br/>Attention and Transformers<br/>Reinforcement Learning<br/>Generative Adversarial Networks<br/>Creative Applications |
| 600 ## - SUBJECT ADDED ENTRY--PERSONAL NAME | |
| Personal name | Computer Engineering |
| 9 (RLIN) | 104391 |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
| Source of classification or shelving scheme | Dewey Decimal Classification |
| Item type | Book |
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