Part 1.
1. Neural Networks: from biological to artificial neurons
2. Classification of images with artificial neural networks
3. Learning of action sequences with artificial neural networks
Part 2.
1. Classification as a geometric problem
2. Supervised learning
3. Simple Perceptron
4. Perceptron algorithm
5. Stochastic gradient descent algorithm
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