Mathematical Foundations for Deep Learning by Mehdi Ghayoumi

Category Other
Type E-Books
Language English
Total size 15.4 MB
Uploaded By reykX

Downloads 404
Last checked 1 week ago
Date uploaded 5 months ago
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Infohash : 0F80A6E8CD06FA23169FFC15BD7BC33A682BFC74

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.

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                Mathematical Foundations for Deep Learning by Mehdi Ghayoumi.pdf (15.4 MB)

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