seminar | Deep Learning JP - Part 88

DropNeuron: Simplifying the Structure of Deep Neural Networks

Unitary Evolution Recurrent Neural Networks

Bayesian Dark Knowledge

Bridging the Gaps Between Residual Learning, Recurrent Neural Networks and Visual Cortex

ディープネットワークを用いた大域特徴と局所特徴の学習による白黒写真の自動色付け

Delving Deep into Rectifiers:Surpassing Human-Level Performance on ImageNet Classification

Deep Networks with Stochastic Depth

Learning to Compose Neural Networks for Question Answering

Generative Adversarial Text to Image Synthesis

Towards a Biologically Plausible Backprop

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