Applied Neural Networks with TensorFlow 2 : (Record no. 222637)

MARC details
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001 - CONTROL NUMBER
control field ssj0002420662
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control field WaSeSS
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20220426142636.0
006 - FIXED-LENGTH DATA ELEMENTS--ADDITIONAL MATERIAL CHARACTERISTICS
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007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION
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fixed length control field 201129s2021 xxu| o |||| 0|eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9781484265123
024 7# - OTHER STANDARD IDENTIFIER
Standard number or code 10.1007/978-1-4842-6513-0
Source of number or code doi
040 ## - CATALOGING SOURCE
Modifying agency WaSeSS
Transcribing agency AIMIT LIBRARY
050 #4 - LIBRARY OF CONGRESS CALL NUMBER
Classification number Q334-342
072 #7 - SUBJECT CATEGORY CODE
Subject category code UYQ
Source bicssc
072 #7 - SUBJECT CATEGORY CODE
Subject category code COM004000
Source bisacsh
072 #7 - SUBJECT CATEGORY CODE
Subject category code UYQ
Source thema
082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 006.32
Edition number 1
Item number YALO
092 ## - LOCALLY ASSIGNED DEWEY CALL NUMBER (OCLC)
Classification number EBOOK
999 ## - SYSTEM CONTROL NUMBERS (KOHA)
Koha Dewey Subclass [OBSOLETE] 03678066
100 1# - MAIN ENTRY--PERSONAL NAME
Personal name Yalcin, Orhan Gazi.
9 (RLIN) 31958
245 10 - TITLE STATEMENT
Title Applied Neural Networks with TensorFlow 2 :
Medium API oriented deep learning with python /
Statement of responsibility, etc. by Orhan Gazi Yalcin
250 ## - EDITION STATEMENT
Edition statement 1st ed.
260 ## - PUBLICATION, DISTRIBUTION, ETC.
Place of publication, distribution, etc. Berkeley, CA :
Name of publisher, distributor, etc. Apress :
-- Imprint: Apress,
Date of publication, distribution, etc. 2021.
300 ## - PHYSICAL DESCRIPTION
Extent xix, 295 p.
Dimensions 23.4 cm.
347 ## - DIGITAL FILE CHARACTERISTICS
File type text file
Encoding format PDF
Source rda
505 0# - FORMATTED CONTENTS NOTE
Formatted contents note Chapter 1: Introduction -- Chapter 2: Introduction to Machine Learning -- Chapter 3: Deep Learning and Neutral Networks Overview -- Chapter 4: Complimentary Libraries to TensorFlow 2.x -- Chapter 5: A Guide to TensorFlow 2.0 and Deep Learning Pipeline -- Chapter 6: Feedfoward Neutral Networks -- Chapter 7: Convolutional Neural Networks -- Chapter 8: Recurrent Neural Networks -- Chapter 9: Natural Language Processing -- Chapter 10: Recommender Systems -- Chapter 11: Auto-Encoders -- Chapter 12: Generative Adversarial Networks.
506 ## - RESTRICTIONS ON ACCESS NOTE
Terms governing access Requires an SPL library card.
520 ## - SUMMARY, ETC.
Summary, etc. Implement deep learning applications using TensorFlow while learning the "why" through in-depth conceptual explanations. You'll start by learning what deep learning offers over other machine learning models. Then familiarize yourself with several technologies used to create deep learning models. While some of these technologies are complementary, such as Pandas, Scikit-Learn, and Numpy-others are competitors, such as PyTorch, Caffe, and Theano. This book clarifies the positions of deep learning and Tensorflow among their peers. You'll then work on supervised deep learning models to gain applied experience with the technology. A single-layer of multiple perceptrons will be used to build a shallow neural network before turning it into a deep neural network. After showing the structure of the ANNs, a real-life application will be created with Tensorflow 2.0 Keras API. Next, you'll work on data augmentation and batch normalization methods. Then, the Fashion MNIST dataset will be used to train a CNN. CIFAR10 and Imagenet pre-trained models will be loaded to create already advanced CNNs. Finally, move into theoretical applications and unsupervised learning with auto-encoders and reinforcement learning with tf-agent models. With this book, you'll delve into applied deep learning practical functions and build a wealth of knowledge about how to use TensorFlow effectively. You will: Compare competing technologies and see why TensorFlow is more popular Generate text, image, or sound with GANs Predict the rating or preference a user will give to an item Sequence data with recurrent neural networks.
538 ## - SYSTEM DETAILS NOTE
System details note Mode of access: World Wide Web.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Artificial intelligence
9 (RLIN) 31959
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Machine Learning
9 (RLIN) 31960
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Deep Learning and Neural networks
9 (RLIN) 31961
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Complementary Libraries to tensor flow
9 (RLIN) 31962
655 #7 - INDEX TERM--GENRE/FORM
Genre/form data or focus term Electronic books.
Source of term local
9 (RLIN) 31963
710 2# - ADDED ENTRY--CORPORATE NAME
Corporate name or jurisdiction name as entry element SpringerLink (Online service)
9 (RLIN) 31964
710 2# - ADDED ENTRY--CORPORATE NAME
Corporate name or jurisdiction name as entry element O'Reilly (Firm)
9 (RLIN) 31965
710 20 - ADDED ENTRY--CORPORATE NAME
Corporate name or jurisdiction name as entry element Serials Solutions
9 (RLIN) 31966
773 0# - HOST ITEM ENTRY
Title Springer Nature eBook
776 08 - ADDITIONAL PHYSICAL FORM ENTRY
Relationship information Printed edition:
International Standard Book Number 9781484265123
776 08 - ADDITIONAL PHYSICAL FORM ENTRY
Relationship information Printed edition:
International Standard Book Number 9781484265147
856 40 - ELECTRONIC LOCATION AND ACCESS
Link text View this electronic item in O'Reilly Online Learning: Academic/Public Library Edition.
Uniform Resource Identifier <a href="https://ezproxy.spl.org/login?url=https://learning.oreilly.com/library/view/~/9781484265130/?ar">https://ezproxy.spl.org/login?url=https://learning.oreilly.com/library/view/~/9781484265130/?ar</a>
Public note An e-book available through full-text database.
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Source of classification or shelving scheme Dewey Decimal Classification
Koha item type Book
Edition 1st
Call number prefix 006.32 YALO
Holdings
Withdrawn status Lost status Source of classification or shelving scheme Damaged status Not for loan Collection code Home library Current library Date acquired Source of acquisition Cost, normal purchase price Inventory number Total Checkouts Full call number Barcode Date last seen Cost, replacement price Price effective from Koha item type
    Dewey Decimal Classification     MCA St Aloysius Institute of Management & Information Technology St Aloysius Institute of Management & Information Technology 03/24/2022 Biblios Book Point 899.00 Bill no:6623; Bill dt:2022-03-23   006.32 YALO MCA17034 07/21/2025 719.20 04/26/2022 Book