soneoka | Deep Learning JP - Part 10

Neural Episodic Control

Model-Free Episodic Control

“Deep Learning Basics” 2017

“Deep Learning Basics” 2017

Deep Learning JP is offering a series of lectures named “Deep Learning Basics&# more

Batch Renormalization: Towards Reducing Minibatch Dependence in Batch-Normalized Models

SqueezeNet: AlexNet-level accuracy with 50x fewer parameters and <0.5MB model size

Variational Dropout Sparsifies Deep Neural Networks

Diet Networks: Thin Parameters for Fat Genomics

Semi-Supervised QA with Generative Domain-Adaptive Nets

Unsupervised Cross-Domain Image Generation

Bridging the Gap Between Value and Policy Based Reinforcement Learning

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