Deep Learning from Scratch

by Weidman, Seth

Type Book
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With the reinvigoration of neural networks in the 2000s, deep learning is now paving the way for modern machine learning. This practical book provides a solid foundation in how deep learning works for data scientists and software engineers with a background in machine learning. Author Seth Weidman shows you how to implement multilayer neural networks, convolutional neural networks, and recurrent neural networks from scratch. Using these networks as building blocks, you'll learn how to build adv…

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Title Statements

  • Full title :Deep Learning from Scratch / Weidman, Seth.

Summary

With the reinvigoration of neural networks in the 2000s, deep learning is now paving the way for modern machine learning. This practical book provides a solid foundation in how deep learning works for data scientists and software engineers with a background in machine learning. Author Seth Weidman shows you how to implement multilayer neural networks, convolutional neural networks, and recurrent neural networks from scratch. Using these networks as building blocks, you'll learn how to build advanced architectures such as image captioning and Neural Turing machines (NTMs). You'll also explore the math behind the theories.

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Edition Statements

  • Publication Date:2019.
  • Edition:1st edition

Publication Statements

The Physical Object

  • Description:1 online resource (250 pages)

Edition Identifiers

  • oclc:on1103558979

Writers

Weidman, Seth

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