Deep learning with python (Record no. 46272)

000 -LEADER
fixed length control field 01481nam a22001817a 4500
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 200704b ||||| |||| 00| 0 eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9781617294433
082 ## - UNIVERSAL DECIMAL CLASSIFICATION NUMBER
Classification number 681.3.062 CHO/D
100 ## - MAIN ENTRY--PERSONAL NAME
Personal name Chollet,Francois
245 ## - TITLE STATEMENT
Title Deep learning with python
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT)
Place of publication, distribution, etc Newyork;
Name of publisher, distributor, etc Manning,
Date of publication, distribution, etc 2018.
300 ## - PHYSICAL DESCRIPTION
Extent 361p.
520 ## - SUMMARY, ETC.
Summary, etc Deep learning is applicable to a widening range of artificial intelligence problems, such as image classification, speech recognition, text classification, question answering, text-to-speech, and optical character recognition. It is the technology behind photo tagging systems at Facebook and Google, self-driving cars, speech recognition systems on your smartphone, and much more.<br/><br/>In particular, Deep learning excels at solving machine perception problems: understanding the content of image data, video data, or sound data. Here's a simple example: say you have a large collection of images, and that you want tags associated with each image, for example, "dog," "cat," etc. Deep learning can allow you to create a system that understands how to map such tags to images, learning only from examples. This system can then be applied to new images, automating the task of photo tagging. A deep learning model only has to be fed examples of a task to start generating useful results on new data
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Python-Computer Program Language;
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Machine Learning;
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Neural Networks-Computer Science;
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Source of classification or shelving scheme
Item type Books
Holdings
Withdrawn status Lost status Source of classification or shelving scheme Damaged status Not for loan Permanent location Current location Date acquired Full call number Barcode Date last seen Price effective from Koha item type
          Main Library Main Library 2020-07-04 681.3.062 CHO/D 37017 2020-07-04 2020-07-04 Books
Copyright © 2020. Library & Information Centre, Indian Institute of Management Kozhikode
Koha version:19.05.02.000