Deep Learning

Description

Deep Learning provides a comprehensive introduction to the concepts, techniques, and applications of deep learning. It covers the mathematical foundations of neural networks, optimization methods, convolutional and recurrent neural networks, sequence modeling, representation learning, and generative models. Combining theoretical explanations with practical insights, this book is widely used as a university textbook and reference for students, researchers, and professionals in artificial intelligence, machine learning, and data science.