Lecture
Deep Learning: Data Representation and Neural Networks
Description
This lecture covers data representation techniques such as bag of words, histograms, and visual words, as well as concepts like missing data, noisy data, data normalization, and imbalanced vs balanced data. It also introduces artificial neural networks, activation functions, and the universal approximation theorem.
Official source
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