| 000 -LEADER |
|---|
| fixed length control field |
02456nam a2200313 4500 |
| 001 - CONTROL NUMBER |
|---|
| control field |
22279 |
| 003 - CONTROL NUMBER IDENTIFIER |
|---|
| control field |
BD-DhUAP |
| 005 - DATE AND TIME OF LATEST TRANSACTION |
|---|
| control field |
20240526154147.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
|---|
| fixed length control field |
190227t20192019nyua 001 0 eng d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
|---|
| International Standard Book Number |
9781617293702 (pbk.) |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
|---|
| International Standard Book Number |
1617293709 (pbk.) |
| 040 ## - CATALOGING SOURCE |
|---|
| Original cataloging agency |
SFR |
| Language of cataloging |
eng |
| Transcribing agency |
BD-DhUAP |
| Description conventions |
BD-DhUAP |
| Modifying agency |
BD-DhUAP |
| 082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER |
|---|
| Classification number |
006.31 TRA |
| Edition number |
23 |
| 100 1# - MAIN ENTRY--PERSONAL NAME |
|---|
| Personal name |
Trask, Andrew W., |
| Relator term |
author. |
| 245 10 - TITLE STATEMENT |
|---|
| Title |
Grokking deep learning / |
| Statement of responsibility, etc. |
Andrew W. Trask. |
| 246 30 - VARYING FORM OF TITLE |
|---|
| Title proper/short title |
Deep learning |
| 264 #1 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE |
|---|
| Place of production, publication, distribution, manufacture |
Shelter Island : |
| Name of producer, publisher, distributor, manufacturer |
Manning, |
| Date of production, publication, distribution, manufacture, or copyright notice |
[2019] |
| 300 ## - PHYSICAL DESCRIPTION |
|---|
| Extent |
xx, 309 pages : |
| Other physical details |
illustrations ; |
| Dimensions |
24 cm |
| 336 ## - CONTENT TYPE |
|---|
| Content type term |
text |
| Source |
rdacontent |
| 337 ## - MEDIA TYPE |
|---|
| Media type term |
unmediated |
| Source |
rdamedia |
| 338 ## - CARRIER TYPE |
|---|
| Carrier type term |
volume |
| Source |
rdacarrier |
| 504 ## - BIBLIOGRAPHY, ETC. NOTE |
|---|
| Bibliography, etc. note |
Includes index. |
| 505 0# - FORMATTED CONTENTS NOTE |
|---|
| Formatted contents note |
Introducing deep learning : why you should learn it -- Fundamental concepts : how do machines learn? -- Introduction to neural prediction : forward propagation -- Introduction to neural learning : gradient descent -- Learning multiple weights at a time : generalizing gradient descent -- Building your first deep neural network : introduction to backpropagation -- How to picture neural networks : in your head and on paper -- Learning signal and ignoring noise : introduction to regularization and batching -- Modeling probabilities and nonlinearities : activation functions -- Neural learning about edges and corners : intro to convolutional neural networks -- Neural networks that understand language : king - man + woman ==? -- Neural networks that write like Shakespeare : recurrent layers for variable-length data -- Introducing automatic optimization : let's build a deep learning framework -- Learning to write like Shakespeare : long short-term memory -- Deep learning on unseen data : introducing federated learning -- Where to go from here : a brief guide. |
| 520 ## - SUMMARY, ETC. |
|---|
| Summary, etc. |
"Grokking Deep Learning teaches you to build deep learning neural networks from scratch! In his engaging style, seasoned deep learning expert Andrew Trask shows you the science under the hood, so you grok for yourself every detail of training neural networks. Using only Python and its math-supporting library, NumPy, you'll train your own neural networks to see and understand images, translate text into different languages, and even write like Shakespeare!"-- |
| Assigning source |
Publisher's description. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name entry element |
Machine learning. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name entry element |
Neural networks (Computer science) |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name entry element |
Python (Computer program language) |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) |
|---|
| Source of classification or shelving scheme |
|
| Koha item type |
Book |
Bengali Keyboard