Machine Learning experiments

A set of Colab experiments on Machine Learning concepts:

1. Training a neural network to approximate mathematical functions
2. Exploring Activation Maximization as an interpretability method for neural networks
3. Exploring Saliency and Class Activation Maps as interpretability methods for neural networks