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Sunday, 7 March 2021

Introduction to Deep Learning and Neural Networks with Python: A Practical Guide

 

Introduction to Deep Learning and Neural Networks with Python: A Practical Guide

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by Ahmed Fawzy Gad, Fatima Ezzahra Jarmouni
  • Length: 300 pages
  • Edition: 1
  • Publisher: Academic Press
  • Publication Date: 2020-12-10
  • Introduction to Deep Learning and Neural Networks with Python™: A Practical Guide is an intensive step-by-step guide for neuroscientists to fully understand, practice, and build neural networks. Providing math and Python™ code examples to clarify neural network calculations, by book’s end readers will fully understand how neural networks work starting from the simplest model Y=X and building from scratch. Details and explanations are provided on how a generic gradient descent algorithm works based on mathematical and Python™ examples, teaching you how to use the gradient descent algorithm to manually perform all calculations in both the forward and backward passes of training a neural network.
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