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Lecture
Deep Neural Networks
Description
This lecture covers the back-propagation algorithm for deep neural networks, including the initialization of weights, forward pass, pre-activations, post-activations, error terms, weight updates, and the use of activation functions. The slides also discuss the importance of locality and translational invariance in convolutional neural networks.
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