Searched refs:backpropagate (Results 1 – 11 of 11) sorted by relevance
29 summary: "Computes softmax cross entropy cost and gradients to backpropagate."
28 summary: "Computes softmax cross entropy cost and gradients to backpropagate."
58 differentiating the energy function, the training must not backpropagate
180 Solution backpropagate(GraphT& G, StackT stack) { in backpropagate() function
179 Solution backpropagate(GraphT& G, StackT stack) { in backpropagate() function
293 S = backpropagate(G, reduce()); in solve()
295 S = backpropagate(G, reduce()); in solve()
354 S = backpropagate(G, reduce()); in solve()
2584 backpropagate the gradient values for a pooling layer in a neural network.
13766 Computes softmax cross entropy cost and gradients to backpropagate.14454 Computes softmax cross entropy cost and gradients to backpropagate.15255 differentiating the energy function, the training must not backpropagate