Dynamic Graph Architecture to Enable Composite Networks

I had been thinking for a while about the most flexible way to add Convolutional layers to my existing API when I read an article about the so-called Deep Residual Learning. Roughly speaking Residual Learning requires a network architecture in which each layer consists of two layers, duplicates of the same amount of neurons, and […]