MARC details
| 000 -LEADER |
|---|
| fixed length control field |
02316cam a22002897i 4500 |
| CONTROL NUMBER |
|---|
| control field |
20512118 |
| DATE AND TIME OF LATEST TRANSACTION |
|---|
| control field |
20190415164740.0 |
| FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
|---|
| fixed length control field |
180525s2017 caua b 001 0 eng d |
| INTERNATIONAL STANDARD BOOK NUMBER |
|---|
| International Standard Book Number |
9789352136049 |
| SYSTEM CONTROL NUMBER |
|---|
| System control number |
(OCoLC)ocn902657832 |
| CATALOGING SOURCE |
|---|
| Original cataloging agency |
YDXCP |
| Language of cataloging |
eng |
| Transcribing agency |
YDXCP |
| Description conventions |
rda |
| Modifying agency |
OCLCQ |
| -- |
BDX |
| -- |
BTCTA |
| -- |
OCLCQ |
| -- |
GK8 |
| -- |
SINLB |
| -- |
OCLCO |
| -- |
FM0 |
| -- |
JED |
| -- |
NZWPM |
| -- |
DAC |
| -- |
OCLCF |
| -- |
IGP |
| -- |
QGK |
| -- |
CZA |
| -- |
OCLCQ |
| -- |
DLC |
| AUTHENTICATION CODE |
|---|
| Authentication code |
lccopycat |
| LIBRARY OF CONGRESS CALL NUMBER |
|---|
| Classification number |
QA325.5 |
| Item number |
.P38 2017 |
| DEWEY DECIMAL CLASSIFICATION NUMBER |
|---|
| Classification number |
006.31 |
| Edition number |
23 |
| Item number |
PAT |
| MAIN ENTRY--PERSONAL NAME |
|---|
| Personal name |
Patterson, Josh |
| Titles and other words associated with a name |
(Consultant), |
| Relator term |
author. |
| TITLE STATEMENT |
|---|
| Title |
Deep learning : |
| Remainder of title |
a practitioner's approach / |
| Statement of responsibility, etc |
Josh Patterson and Adam Gibson. |
| PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) |
|---|
| Place of publication, distribution, etc |
Mumbai : |
| Name of publisher, distributor, etc |
Shroff Publishers & Distributors, |
| Date of publication, distribution, etc |
2018. |
| PHYSICAL DESCRIPTION |
|---|
| Extent |
xxi, 507 p. : |
| Other physical details |
ill. ; |
| Dimensions |
24 cm |
| BIBLIOGRAPHY, ETC. NOTE |
|---|
| Bibliography, etc |
Includes bibliographical references and index. |
| FORMATTED CONTENTS NOTE |
|---|
| Formatted contents note |
A review of machine learning -- Foundations of neural networks and deep learning -- Fundamentals of deep networks -- Major architecture of deep networks -- Building deep networks -- Tuning deep networks -- Tuning specific deep network architectures -- Vectorization -- Using deep learning and DL4J on Spark -- What is artificial intelligence? -- RL4J and reinforcement learning -- Numbers everyone should know -- Neural networks and backpropagation: a mathematical approach -- Using the ND4J API -- Using DataVec -- Working with DL4J from source -- Setting up DL4J projects -- Setting up GPUs for DL4J projects -- Troubleshooting DL4J installations. |
| SUMMARY, ETC. |
|---|
| Summary, etc |
How can machine learning--especially deep neural networks--make a real difference in your organization? This hands-on guide not only provides practical information, but helps you get started building efficient deep learning networks. The authors provide the fundamentals of deep learning--tuning, parallelization, vectorization, and building pipelines--that are valid for any library before introducing the open source Deeplearning4j (DL4J) library for developing production-class workflows. Through real-world examples, you'll learn methods and strategies for training deep network architectures and running deep learning workflows on Spark and Hadoop with DL4J.-- |
| SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name as entry element |
Machine learning. |
| SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name as entry element |
Neural networks (Computer science) |
| SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name as entry element |
Open source software. |
| ADDED ENTRY--PERSONAL NAME |
|---|
| Personal name |
Gibson, Adam, |
| Relator term |
author. |
| ADDED ENTRY ELEMENTS (KOHA) |
|---|
| Source of classification or shelving scheme |
Dewey Decimal Classification |
| Item type |
Books |
