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Math for Deep Learning
₨ 940
Math for Deep Learning by Ronald T. Kneusel is a practical guide that breaks down the essential mathematical concepts behind deep learning. Covering topics such as linear algebra, probability, calculus, and optimization, the book helps readers develop a strong foundation for understanding neural networks and AI models. Designed for beginners and practitioners, it provides clear explanations, real-world examples, and Python-based implementations to bridge the gap between theory and application in deep learning.


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