MARC details
| 000 -LEADER |
|---|
| fixed length control field |
01433nam a22002777i 4500 |
| 005 - DATE AND TIME OF LATEST TRANSACTION |
|---|
| control field |
20250819123605.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
|---|
| fixed length control field |
250722s |||ao||fr|||| 00| 0 eng d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
|---|
| International Standard Book Number |
9789389423716 |
| 040 ## - CATALOGING SOURCE |
|---|
| Original cataloging agency |
EG-GaU |
| Transcribing agency |
EG-GaU |
| Modifying agency |
EG-GaU |
| Description conventions |
rda |
| 082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER |
|---|
| Edition number |
23 |
| Classification number |
006.3 |
| Item number |
k.s.n. |
| 100 1# - MAIN ENTRY--PERSONAL NAME |
|---|
| Personal name |
Klaas, Sebastian, |
| Relator term |
author. |
| 9 (RLIN) |
60453 |
| 245 10 - TITLE STATEMENT |
|---|
| Title |
Neural network for beginners : |
| Remainder of title |
build deep neural networks and develop strong fundamentals using Python’s NumPy, and Matplotlib / |
| Statement of responsibility, etc. |
Sebastian Klaas. |
| 250 ## - EDITION STATEMENT |
|---|
| Edition statement |
1st edition. |
| 264 #1 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE |
|---|
| Place of production, publication, distribution, manufacture |
New Delhi : |
| Name of producer, publisher, distributor, manufacturer |
BPB Publications, |
| Date of production, publication, distribution, manufacture, or copyright notice |
2021. |
| 300 ## - PHYSICAL DESCRIPTION |
|---|
| Extent |
256 pages : |
| Other physical details |
illustrations ; |
| Dimensions |
24 cm. |
| 336 ## - CONTENT TYPE |
|---|
| Source |
rdacontent |
| Content type term |
text |
| Content type code |
txt |
| 337 ## - MEDIA TYPE |
|---|
| Source |
rdamedia |
| Media type term |
unmediated |
| Media type code |
n |
| 338 ## - CARRIER TYPE |
|---|
| Source |
rdacarrier |
| Carrier type term |
volume |
| Carrier type code |
nc |
| 504 ## - BIBLIOGRAPHY, ETC. NOTE |
|---|
| Bibliography, etc. note |
Includes bibliographical references.<br/> |
| 505 0# - FORMATTED CONTENTS NOTE |
|---|
| Formatted contents note |
Chapter 1: Python introduction ‡ 2: Perceptron in depth ‡ 3: Neural networks ‡ 4: Training neural networks ‡ 5: Backpropagation ‡ 6: Neural network training techniques ‡ 7: CNN ‡ 8: Deep learning.<br/> |
| 520 ## - SUMMARY, ETC. |
|---|
| Summary, etc. |
A beginner-focused guide to deep learning including perceptrons, backpropagation, CNNs, and training techniques, with practical implementation using NumPy and Matplotlib in Python.:contentReference[oaicite:1]{index=1}<br/> |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name entry element |
Neural networks |
| General subdivision |
Study and teaching. |
| 9 (RLIN) |
60454 |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name entry element |
Deep learning. |
| 9 (RLIN) |
60437 |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) |
|---|
| Source of classification or shelving scheme |
Dewey Decimal Classification |
| Koha item type |
Books |