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  <titleInfo>
    <title>Deep Learning From Scratch : Building With Python From First Principles</title>
  </titleInfo>
  <name type="personal">
    <namePart>Weidman</namePart>
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    <place>
      <placeTerm type="text">Mumbai</placeTerm>
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    <dateIssued>2021</dateIssued>
    <publisher>Shroff Publishers</publisher>
    <dateIssued encoding="marc">9999</dateIssued>
    <issuance>monographic</issuance>
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  <language>
    <languageTerm authority="iso639-2b" type="code">eng</languageTerm>
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  <physicalDescription>
    <form authority="marcform">print</form>
    <extent>xiv, 235p. ill; 23 cm.</extent>
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  <abstract>With the resurgence of neural networks in the 2010s, deep learning has become essential for machine learning practitioners and even many software engineers. This book provides a comprehensive introduction for data scientists and software engineers with machine learning experience. You'll start with deep learning basics and move quickly to the details of important advanced architectures, implementing everything from scratch along the way.Author Seth Weidman shows you how neural networks work using a first principles approach. You'll learn how to apply multilayer neural networks, convolutional neural networks, and recurrent neural networks from the ground up.</abstract>
  <note type="statement of responsibility">/ Weidman</note>
  <note>index</note>
  <subject>
    <topic> Python (Computer program language)</topic>
  </subject>
  <subject>
    <topic>Artificial intelligence</topic>
  </subject>
  <subject>
    <topic>Neural networks (Computer science)</topic>
  </subject>
  <classification authority="ddc">006.3 WEI</classification>
  <identifier type="isbn">9789352139026</identifier>
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