Lecture
Multilayer Perceptron: Training and Optimization
Description
This lecture covers the multilayer perceptron (MLP) model, training algorithm, data preprocessing, bag of words, histograms, noisy data cleaning, data normalization, activation functions, backpropagation, gradient-based learning, stochastic gradient descent, momentum, adaptive learning rate, gradient vanishing, weight initialization, regularization, and optimization techniques.
Official source
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