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  <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>
  <name type="personal">
    <namePart>Watson, Matthew</namePart>
  </name>
  <typeOfResource>text</typeOfResource>
  <originInfo>
    <place>
      <placeTerm type="text">Shelter Island</placeTerm>
    </place>
    <publisher>Manning Publications</publisher>
    <dateIssued>2026</dateIssued>
    <edition>3rd ed.</edition>
    <issuance>monographic</issuance>
  </originInfo>
  <language>
    <languageTerm authority="iso639-2b" type="code">eng</languageTerm>
  </language>
  <physicalDescription>
    <form authority="marcform">print</form>
    <extent>xxii, 621 p.</extent>
  </physicalDescription>
  <abstract>"Deep Learning with Python, Third Edition puts the power of deep learning in your hands. This new edition includes the latest Keras and TensorFlow features, generative AI models, and added coverage of PyTorch and JAX. Learn directly from the creator of Keras and step confidently into the world of deep learning with Python. In Deep Learning with Python, Third Edition you'll discover : Deep learning from first principles ; The latest features of Keras 3 ; A primer on JAX, PyTorch, and TensorFlow ; Image classification and image segmentation ; Time series forecasting ; Large Language models ; Text classification and machine translation ; Text and image generation--build your own GPT and diffusion models! ; Scaling and tuning models"-- Provided by publisher</abstract>
  <note type="statement of responsibility">François Chollet and Matthew Watson</note>
  <note>Index present</note>
  <note>Eng</note>
  <subject>
    <topic>Python (Computer program language)</topic>
  </subject>
  <subject>
    <topic>Machine learning</topic>
  </subject>
  <classification authority="ddc">T 006.133 CHO-D</classification>
  <identifier type="isbn">9781633436589</identifier>
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    <recordCreationDate encoding="marc">260908</recordCreationDate>
    <recordChangeDate encoding="iso8601">20260908162347.0</recordChangeDate>
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