<?xml version="1.0" encoding="UTF-8"?>
<mods xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns="http://www.loc.gov/mods/v3" version="3.1" xsi:schemaLocation="http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-1.xsd">
  <titleInfo>
    <title>Deep learning with Python</title>
  </titleInfo>
  <name type="personal">
    <namePart>Chollet, François</namePart>
    <role>
      <roleTerm authority="marcrelator" type="text">creator</roleTerm>
    </role>
  </name>
  <typeOfResource>text</typeOfResource>
  <genre authority="marc">bibliography</genre>
  <originInfo>
    <place>
      <placeTerm type="code" authority="marccountry">nyu</placeTerm>
    </place>
    <place>
      <placeTerm type="text">Shelter Island, New York</placeTerm>
    </place>
    <publisher>Manning Publications Co.</publisher>
    <dateIssued>©2018</dateIssued>
    <dateIssued encoding="marc">2018</dateIssued>
    <issuance>monographic</issuance>
  </originInfo>
  <language>
    <languageTerm authority="iso639-2b" type="code">eng</languageTerm>
  </language>
  <physicalDescription>
    <form authority="marcform">print</form>
    <extent>xxi, 361 pages : illustrations ; 24 cm.</extent>
  </physicalDescription>
  <abstract>	
Deep Learning with Python introduces the field of deep learning using the Python language and the powerful Keras library. Written by Keras creator and Google AI researcher François Chollet, this book builds your understanding through intuitive explanations and practical examples. You'll explore challenging concepts and practice with applications in computer vision, natural-language processing, and generative models. By the time you finish, you'll have the knowledge and hands-on skills to apply deep learning in your own projects.</abstract>
  <tableOfContents>	Part 1: Fundamentals of deep learning. What is deep learning? --
Before we begin: the mathematical building blocks of neural networks --
Getting started with neural networks --
Fundamentals of machine learning --
Part 2: Deep learning in practice. Deep learning for computer vision --
Deep learning for text and sequences --
Advanced deep-learning best practices --
Generative deep learning.</tableOfContents>
  <note type="statement of responsibility">François Chollet</note>
  <note>Includes bibliographical references and index.</note>
  <note>ARC</note>
  <subject authority="lcsh">
    <topic>Python (Computer program language)</topic>
  </subject>
  <subject authority="lcsh">
    <topic>Machine learning</topic>
  </subject>
  <subject authority="lcsh">
    <topic>Computer science</topic>
  </subject>
  <subject authority="lcsh">
    <topic>Neural networks (Computer science)</topic>
  </subject>
  <subject authority="">
    <topic>Machine learning</topic>
  </subject>
  <subject authority="">
    <topic>Neural networks (Computer science)</topic>
  </subject>
  <subject authority="">
    <topic>Python (Computer program language)</topic>
  </subject>
  <classification authority="lcc">QA76.73.P98 C465 2018</classification>
  <classification authority="ddc" edition="23">005.133</classification>
  <identifier type="isbn">9781617294433</identifier>
  <identifier type="isbn">1617294438</identifier>
  <identifier type="lccn">2018286242</identifier>
  <location>
    <physicalLocation>Ayesha Abed Library</physicalLocation>
  </location>
  <recordInfo>
    <recordContentSource authority="marcorg">BTCTA</recordContentSource>
    <recordCreationDate encoding="marc">180913</recordCreationDate>
    <recordChangeDate encoding="iso8601">20211108131158.0</recordChangeDate>
    <recordIdentifier source="BD-DhAAL">33765</recordIdentifier>
    <languageOfCataloging>
      <languageTerm authority="iso639-2b" type="code">eng</languageTerm>
    </languageOfCataloging>
  </recordInfo>
</mods>
