Vanishing Exploding Gradients Explained Why Deep Nets Fail

Summary

Let's discuss a problem that creeps up time-and-time during the training process of an artificial neural network. This is the problem ... In our last episode, we saw how backpropagation acts as the "learning engine" of a model. But what happens when that engine ... Have you ever wondered why, for decades, making neural Your MNIST classifier from EP13 trained fine — 2 hidden layers, no problem. Stack 20 layers with sigmoid and it will not train at all ... In 2015, Microsoft researchers found their 56-layer model Here, we run down how RNNs are trained via backpropagation through time, and see how this algorithm is plagued by the ...