Deep Learning Generalization Theoretical Foundations and Practical Strategies

Mathematical Foundations of Deep Learning

"Mathematical Foundations for Deep Learning

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

AI Deep Learning in Image Processing (Hardcover)

Fundamentals and Methods of Machine and Deep Learning: Algorithms, Tools, and Applications

Modern Deep Learning Design and Application Development

Mathematical Engineering of Deep Learning

Machine Learning: From the Classics to Deep Networks, Transformers, and Diffusion Models

Optimization Techniques for Deep Learning: Improving Performance and Efficiency

Deep Learning Principles and Implementations

Lecture Notes in Deep Learning: Theoretical Insights into an Artificial Mind

neural networks and deep learning a textbook

Deep Learning for Beginners: A Comprehensive Introduction of Deep Learning Fundamentals for Beginners to Understanding Frameworks, Neural Networks, Large Datasets, and Creative Applications with Ease

Math and Architectures of Deep Learning - by Krishnendu Chaudhury (Paperback)

Deep Learning in Practice

Machine Learning: From the Classics to Deep Networks, Transformers, and Diffusion Models

Mathematics of Deep Learning

The Science of Deep Learning

Hands-on Deep Learning: Building Models from Scratch

Deep Learning at Scale

Mastering Deep learning: A Complete Introduction for Beginners and Newbies

Deep Learning Architectures: A Mathematical Approach (Springer Series in the Data Sciences)

Practical Deep Learning 2nd Edition: A Python-Based Introduction (Paperback)

A Guide to Understanding and Building Artificial Neural Networks in Python

Artificial Neural Networks with TensorFlow 2

Applied Deep Learning with TensorFlow 2

Deep Learning in Quantitative Finance

Deep Learning with PyTorch, Second Edition

Demystifying Deep Learning An Introduction to the Mathematics of Neural Networks