All the same, the success of neural networks has renewed interest in whether some kind of backprop happens in the brain. There have been promising experimental hints it might.

The learning algorithm that enables the runaway success of deep neural networks doesn’t work in biological brains, but researchers are finding alternatives that could.

The algorithm, called backpropagation, was the spark that fired up the current revolution of deep learning as the de facto machine learning behemoth. At its core, “backprop” is an extremely effective ...

Don’t just use backprop — understand it. This derivation shows how gradients are calculated layer by layer. #Backpropagation #NeuralNetworks #DeepLearningMath Donald Trump reacts to alleged ...