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Lecture
Kernel Methods: Neural Networks
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Feedforward Neural Networks: Activation Functions and Backpropagation
Introduces feedforward neural networks, activation functions, and backpropagation for training, addressing challenges and powerful methods.
Kernel Methods: Machine Learning
Covers Kernel Methods in Machine Learning, focusing on overfitting, model selection, cross-validation, regularization, kernel functions, and SVM.
