Hands-On Mathematics for Deep Learning: Build a solid mathematical foundation for training efficient deep neural networks

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, image, text, and sequence applications

Book Description Most programmers and data scientist...