Vanishing gradient is a commong problem encountered while training a deep neural network with many layers. In case of RNN this problem is prominent as unrolling a network layer in time makes it more like a deep neural network with many layers. In this video we will discuss what vanishing and exploding gradients are in artificial neural network (ANN) and in recurrent neural network (RNN)
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❗❗ DISCLAIMER: All opinions expressed in this video are of my own and not that of my employers'.
