MARC details
000 -LEADER |
fixed length control field |
02356nam a22003377a 4500 |
003 - CONTROL NUMBER IDENTIFIER |
control field |
ZW-GwMSU |
005 - DATE AND TIME OF LATEST TRANSACTION |
control field |
20240801084021.0 |
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
fixed length control field |
240726b |||||||| |||| 00| 0 eng d |
020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
International Standard Book Number |
9781617297717 |
020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
International Standard Book Number |
9781617297717 |
040 ## - CATALOGING SOURCE |
Original cataloging agency |
rda |
Language of cataloging |
English |
Transcribing agency |
MSULIB |
Description conventions |
rda |
050 00 - LIBRARY OF CONGRESS CALL NUMBER |
Classification number |
Q325.5 MAT |
100 1# - MAIN ENTRY--PERSONAL NAME |
Personal name |
Mattmann, Chris. |
Relator term |
author. |
245 10 - TITLE STATEMENT |
Title |
Machine learning with tensorflow / |
Statement of responsibility, etc |
created by Chris Mattmann ; foreword by Scott Penberthy. |
250 ## - EDITION STATEMENT |
Edition statement |
Second edition. |
264 #1 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE |
Name of producer, publisher, distributor, manufacturer |
Manning Publications Company, |
Date of production, publication, distribution, manufacture, or copyright notice |
2020 |
264 #4 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE |
Date of production, publication, distribution, manufacture, or copyright notice |
©2020 |
300 ## - PHYSICAL DESCRIPTION |
Extent |
xxix, 420 pages : |
Other physical details |
illustrations ; |
Dimensions |
24 cm |
336 ## - CONTENT TYPE |
content type term |
text |
Source |
rdacontent |
337 ## - MEDIA TYPE |
media type term |
unmediated |
media type code |
n |
source |
rdamedia |
338 ## - CARRIER TYPE |
carrier type term |
volume |
carrier type code |
nc |
source |
rdacarrier |
504 ## - BIBLIOGRAPHY, ETC. NOTE |
Bibliography, etc |
Includes index. |
505 0# - FORMATTED CONTENTS NOTE |
Formatted contents note |
Part 1. Your machine-learning rig. 1. A machine-learning odyssey -- 2. TensorFlow essentials -- Part 2. Core learning algorithms. 3. Linear regression and beyond -- 4. Using regression for call-center volume prediction -- 5. A gentle introduction to classification -- 6. Sentiment classification : large movie-review dataset -- 7. Automatically clustering data -- 8. Inferring user activity from Android accelerometer data -- 9. Hidden Markov models -- 10. Part-of-speech tagging and word-sense disambiguation -- Part 3. The neural network paradigm. 11. A peek into autoencoders -- 12. Applying autoencoders: the CIFAR-10 image dataset -- 13. Reinforcement learning -- 14. Convolutional neural networks -- 15. Building a real-world CNN: VGG-Face and VGG-Face Lite -- 16. Recurrent neural networks -- 17. LSTMs and automatic speech recognition -- 18. Sequence=to-sequence models for chatbots -- 19. Utility landscape. |
520 ## - SUMMARY, ETC. |
Summary, etc |
Updated with new code, new projects, and new chapters, Machine Learning with TensorFlow, Second Edition gives readers a solid foundation in machine-learning concepts and the TensorFlow library. Summary Updated with new code, new projects, and new chapters, Machine Learning with TensorFlow, Second Edition gives readers a solid foundation in machine-learning concepts and the TensorFlow library.-- |
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
Topical term or geographic name as entry element |
Machine learning. |
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
Topical term or geographic name as entry element |
Data mining. |
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
Topical term or geographic name as entry element |
Computer algorithms. |
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
Topical term or geographic name as entry element |
Programming languages (Electronic computers) |
700 1# - ADDED ENTRY--PERSONAL NAME |
Personal name |
Penberthy, Scott. |
Relator term |
writer of foreword. |
942 ## - ADDED ENTRY ELEMENTS (KOHA) |
Source of classification or shelving scheme |
Library of Congress Classification |
Koha item type |
Book |