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Introduction to Deep Learning and Neural Networks with Python™

A Practical Guide

1st Edition - November 25, 2020

Authors: Ahmed Fawzy Gad, Fatima Ezzahra Jarmouni

Language: English
Paperback ISBN:
9 7 8 - 0 - 3 2 3 - 9 0 9 3 3 - 4
eBook ISBN:
9 7 8 - 0 - 3 2 3 - 9 0 9 3 4 - 1

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… Read more

Introduction to Deep Learning and Neural Networks with Python™

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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.