Machine learning: 1. Neurons and networks

Neurons and networks #

Labs and exercises #

1.	Expressiveness and an introduction to neural networks
2.	Expressiveness
3.	The perceptron
4.	MNIST digits and the perceptron
5.	\(\mathcal{N}: K \rightarrow \mathbb{R}^m\)
6.	Step functions
7.	Multiplicative neural networks