Model Compression - Cornell University
method introduced by Caruana et al. [5]. To achieve this, we take advantage of the well known property of arti cial neural nets, namely that they are universal approximators: givenenoughtraining data, anda large enoughhiddenlayer, a neural net can approximate any function to arbitrary pre-cision. Instead of training the neural net on the original
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