It is highly desirable that a NN/DNN must have smaller weights. For one thing, I am very sure why it is desirable i.e. if your model has smaller weights, then for a very small change in the input, there will be a very small change in the output. But what else? What are the other reasons for having smaller weights? A detailed explanation along with some resources will be very much appreciated. Thanks in advance.
Weights of a DNN model
machine learning;neural network;deep learning;convnet