Are you an EPFL student looking for a semester project?
Work with us on data science and visualisation projects, and deploy your project as an app on top of Graph Search.
This lecture covers the training process of a neural network, including feedforward and cost function implementation, gradient checking, learning parameters using fmincg, and visualizing hidden layers. It also discusses the impact of regularization and training settings on network performance.