Math for Deep Learning: What You Need to Know to Understand Neural Networks
Math for Deep Learning offers a focused guide to the mathematical foundations behind neural networks. Ronald T. Kneusel helps readers build the understanding needed to engage with deep learning, making the book a useful resource for anyone seeking a clearer connection between mathematics and machine learning.
About This Book
Math for Deep Learning focuses on the mathematical knowledge needed to understand neural networks.
The book connects foundational mathematics with the concepts used in deep learning, providing a focused path into the subject.
Written by Ronald T. Kneusel, it is intended for readers who want to strengthen their understanding of the math underlying neural network methods.
Its subject makes it relevant to learners exploring mathematics, computer science, and modern machine learning.
Reviews
No reviews yet. Be the first to review this book!