Simplified Stochastic Feedforward Neural Networks

11 Apr 2017 Kimin Lee Jaehyung Kim Song Chong Jinwoo Shin

It has been believed that stochastic feedforward neural networks (SFNNs) have several advantages beyond deterministic deep neural networks (DNNs): they have more expressive power allowing multi-modal mappings and regularize better due to their stochastic nature. However, training large-scale SFNN is notoriously harder... (read more)

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