Introduction to Deep Learning and Neural Networks with Python™: A Practical Guide 1st Edition

Introduction to Deep Learning and Neural Networks with Python™: A Practical Guide 1st Edition

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Introduction to Deep Learning and Neural Networks with Python™: A Practical Guide 1st Edition

by Ahmed Fawzy Gad  (Author), Fatima Ezzahra Jarmouni (Author)
 
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.
 

Product Details

  • Publisher : Academic Press; 1st edition (December 10, 2020)
  • Language : English
  • Digital eBook : 300 pages

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