Adaptive Computation and Machine Learnin Deep Learning, (Hardcover)
Adaptive Computation and Machine Learnin Deep Learning, (Hardcover)
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Adaptive Computation and Machine Learnin Deep Learning, (Hardcover)

Key item features

  • Comprehensive Introduction: Offers a broad introduction to deep learning, covering mathematical and conceptual foundations, industry techniques, and research perspectives.
  • Expert Authorship: Written by three experts in the field, providing a comprehensive overview of the subject as endorsed by Elon Musk.
  • Foundational Concepts: Explores relevant concepts in linear algebra, probability theory, information theory, numerical computation, and machine learning.
  • Industry Techniques: Details deep learning techniques used by practitioners, including deep feedforward networks, regularization, and optimization algorithms.
  • Diverse Applications: Surveys applications such as natural language processing, speech recognition, computer vision, and online recommendation systems.
  • Research Perspectives: Covers theoretical topics like linear factor models, autoencoders, representation learning, and deep generative models.
  • Target Audience: Suitable for undergraduate and graduate students, as well as software engineers looking to integrate deep learning into their work.
  • Publication Details: Hardcover format, published on 2016-11-18, with a substantial page count of 800.
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Oct 25, 2024
Thomas
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Book format: Hardcover
Sold and shipped byHARARE PLANET
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Very good condition

The product arrived in a very good condition. It's a new book with a great content.

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Mar 17, 2023
JK
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highly recommend

very good quality! recommend!

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May 25, 2024
HalfPunchMan
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Book format: Hardcover
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Nice product

Good quality book in terms of print and paper quality.

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