Mathematical Foundations for Deep Learning by Mehdi Ghayoumi

Format: .pdf
Size: 15.4 MB
Year: 2025
Mathematical Foundations for Deep Learning bridges the gap between theoretical mathematics and practical applications in Artificial Intelligence (AI). This guide delves into the fundamental mathematical concepts that power modern Deep Learning, equipping readers with the tools and knowledge needed to excel in the rapidly evolving field of Artificial Intelligence. Designed for learners at all levels, from beginners to experts, the book makes mathematical ideas accessible through clear explanations, real-world examples, and targeted exercises. Readers will master core concepts in linear algebra, calculus, and optimization techniques; understand the mechanics of Deep Learning models; and apply theory to practice using frameworks like TensorFlow and PyTorch.