Introduction to Deep Learning and Neural Networks with Python™: A Practical Guide
by: Ahmed Fawzy Gad and Fatima Ezzahra Jarmouni
Publisher finelybook 出版社: Academic Press; 1st edition (December 10,2020)
Language 语言: English
Print length 页数: 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
- Automated Machine Learning: Methods, Systems, Challenges
- Ultimate MLOps for Machine Learning Models: Use Real Case Studies to Efficiently Build, Deploy, and Scale Machine Learning Pipelines with MLOps
- Mastering IBM CMOD for RedHat Linux and Windows 11 Servers
- Modern Web Development with Angular: Build Cutting-Edge, Scalable Web Apps from Scratch with Angular, TypeScript, and Reactive Programming
finelybook
