Hands-On Mathematics for Deep Learning

A comprehensive guide to getting well-versed with the mathematical techniques for building modern deep learning architectures

Key Features

• Understand linear algebra, calculus, gradient algorithms, and other concepts essential for training deep neural networks
• Learn the mathematical concepts needed to understand how deep learning models function
• Use deep learning for solving problems related to vision,...