FermiNets: Learning generative machines to generate efficient neural networks via generative synthesis

17 Sep 2018Alexander WongMohammad Javad ShafieeBrendan ChwylFrancis Li

The tremendous potential exhibited by deep learning is often offset by architectural and computational complexity, making widespread deployment a challenge for edge scenarios such as mobile and other consumer devices. To tackle this challenge, we explore the following idea: Can we learn generative machines to automatically generate deep neural networks with efficient network architectures?.. (read more)

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