For example, I consider an NN with n number of input units. What should the construction of NN be changed if the number of input units increases to 10*n? I think the number of hidden units and hidden layer should be increased. And, we should have a higher number of samples in the dataset (e.g., using data augmentation).

I also think dimensionality reduction could be used (like word embedding).

What do you think about this problem? Thank you.


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