IML15: Understanding parameters and hyperparameters in deep learning

I briefly describe how a neural net works and then describe the difference between the weights (parameters) and the hyperparameters that affect the learning of the weights.

0:00 - Introduction
2:25 - Single neuron in a neural net
5:25 - Basic idea of activation functions
6:45 - Basic neural network configuration
9:30 - Hyperparamaters of a neural network
12:55 - Exhaustive and randomgrid search of hyperparameters
15:15 - Conclusion