Lectures related to Back-propagation: Understanding Neural Networks

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Explains the learning process in multi-layer neural networks, including back-propagation, activation functions, weights update, and error backpropagation.

Mathematics of Data: From Theory to Computation

Covers key concepts in data mathematics, including automatic differentiation, linear layers, and attention layers.