Machine Learning, Neuromation, Neuromation Platform.
from what happens in other parts. This means, for instance, that if you have a layer in your neural network, i.e., a set of nodes that do not feed into each other but all receive inputs from previous layers, you can compute them all in parallel during both forward propagation and backpropagation.