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Pages: 278, Paperback, Independently published
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Matrix computations for deep learning: Foundations of svd tensor operations and cnns...
Independently Published
Linear Algebra for Machine Learning Workbook: Matrix Operations, Eigenvalues, SVD, Gradients, and Optimization
Supercomputing for Artificial Intelligence: Foundations, Architectures, and Scaling Deep Learning Workloads
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