Introduction to Deep Learning and Neural Networks with Python™: A Practical Guide
by: Ahmed Fawzy Gad and Fatima Ezzahra Jarmouni
Publisher: Academic Press; 1st edition (December 10,2020)
Language: English
Paperback: 300 pages
ISBN-10: 0323909337
ISBN-13: 9780323909334
Book 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.
Introduction to Deep Learning and Neural Networks with Python: A Practical Guide
未经允许不得转载:finelybook » Introduction to Deep Learning and Neural Networks with Python: A Practical Guide
相关推荐
- Introduction to Cryptography with Coding Theory,3rd Edition
- Machine Learning for Kids: A Project-Based Introduction to Artificial Intelligence
- Math Learning Strategies: How Parents and Teachers Can Help Kids Excel in Math
- Model-Based Reinforcement Learning: From Data to Continuous Actions with a Python-based Toolbox
finelybook
