Jarmouni Fatima Ezzahra (Ecole Nationale Superieure D'informatique Et D'analyse Des Systemes Rabat Morocco) - Introduction To Deep Learning And Neural Networks With Python A Practical Guide - Paperback

Binding: Paperback
Description: 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.
Title: Introduction To Deep Learning And Neural Networks With Python A Practical Guide
Author(s): Jarmouni Fatima Ezzahra (Ecole Nationale Superieure D'informatique Et D'analyse Des Systemes Rabat Morocco)
Publisher: Elsevier Science & Technology
Barcode: 9780323909334
Pages: 300 Pages
Publication Date: 11/26/2020
Category: “Neurosciences”; Uyq “Artificial Intelligence” & Following)