Deep Neural Network (DNN), its scope, and nature of complexity

Deep Neural Network
The layered structure of DNN
  1. Overfitting is the most common problem that is experienced while training deep neural networks. Thus, the learning algorithm needs to fit every data point in the input, even if there is a representation of sampled noise. Regularization helps to avoid the problem of overfitting by penalizing the weights of the network.

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