Applied Deep Learning with TensorFlow 2: Learn to Implement Advanced Deep Learning Techniques with Python (Record no. 698672)

MARC details
000 -LEADER
fixed length control field 01461 a2200205 4500
003 - CONTROL NUMBER IDENTIFIER
control field OSt
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20240712164238.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 240712b |||||||| |||| 00| 0 eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9781484283769
040 ## - CATALOGING SOURCE
Language of cataloging English
082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 006.3/MIC
100 ## - MAIN ENTRY--PERSONAL NAME
Personal name Michelucci, Umberto
245 ## - TITLE STATEMENT
Title Applied Deep Learning with TensorFlow 2: Learn to Implement Advanced Deep Learning Techniques with Python
250 ## - EDITION STATEMENT
Edition statement 2nd ed
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT)
Name of publisher, distributor, etc Apress
Date of publication, distribution, etc 2024
300 ## - PHYSICAL DESCRIPTION
Extent xxviii, 380p
520 ## - SUMMARY, ETC.
Summary, etc This book is designed so that you can focus on the parts you are interested in. You will explore topics as regularization, optimizers, optimization, metric analysis, and hyper-parameter tuning. In addition, you will learn the fundamentals ideas behind autoencoders and generative adversarial networks.<br/><br/>All the code presented in the book will be available in the form of Jupyter notebooks which would allow you to try out all examples and extend them in interesting ways. A companion online book is available with the complete code for all examples discussed in the book and additional material more related to TensorFlow and Keras. All the code will be available in Jupyter notebook format and can be openeddirectly in Google Colab (no need to install anything locally) or downloaded on your own machine and tested locally.
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Source of heading or term Intermediate understanding of machine learning, linear algebra, calculus, and basic Python programming.
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type Books
Source of classification or shelving scheme Dewey Decimal Classification
Holdings
Withdrawn status Lost status Source of classification or shelving scheme Damaged status Not for loan Home library Current library Shelving location Date acquired Source of acquisition Cost, normal purchase price Total Checkouts Full call number Barcode Date last seen Cost, replacement price Price effective from Koha item type Public note
    Dewey Decimal Classification     Symbiosis Institute of Computer Studies and Research Symbiosis Institute of Computer Studies and Research Data Mining 10/07/2024 The Word Book Shop 1249.00   006.3/MIC SICSR-B-19678 12/07/2024 1249.00 10/07/2024 Books Intermediate understanding of machine learning, linear algebra, calculus, and basic Python programming.