I’m track both the loss and the accuracy of both training and test sets at training time.
However, I want to have a deeper understanding of my neural network.
- What is the best way to inspect what the inner layers are computing ?
For example, they do it in the animation from Stanford CS site: http://cs231n.stanford.edu/
I’d like to do the same with my Torch based CNN.
- Can you suggest any starting point ?
I’m also trying to start tracking the gradients in training time, and would welcome any pointer as to how could I track this in a useful, and simple way (I am rather a beginner.)