Lecture
Neural Networks: Perceptron and Backpropagation
Description
This lecture covers the basics of neural networks, starting with the perceptron model and its learning algorithm. It then delves into the backpropagation algorithm for training multi-layer feed-forward neural networks. The instructor explains the effects of different activation functions, learning rates, and the challenges of fooling neural networks with adversarial perturbations.
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