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Pages: 268, Hardcover, Independently published
Independently Published
Deep Learning Mathematics: The Complete Mathematical Framework Behind Neural Networks, Backpropagation, and Modern Architectures
DEEP LEARNING MATHEMATICS WORKBOOK: 300 Practice Problems in Calculus, Gradients, Backpropagation, Probability,...
The MATH BEHIND AI FOR BEGINNERS: A Clear And Practical Introduction To...
Eliva Press
Foundations of Causal Representation Learning: Identifiability, Optimization, and Generalization
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