accel-brain-code
PublicThe purpose of this repository is to make prototypes as case study in the context of proof of concept(PoC) and research and development(R&D) that I have written in my website. The main research topics are Auto-Encoders in relation to the representation learning, the statistical machine learning for energy-based models, adversarial generation networks(GANs), Deep Reinforcement Learning such as Deep Q-Networks, semi-supervised learning, and neural network language model for natural language processing.
auto-encoderautomatic-summarizationcombinatorial-optimizationdeep-learningdeep-q-networkdeep-reinforcement-learningenergy-based-modelgenerative-adversarial-networklstmmulti-agent-reinforcement-learning
Creat：2017-09-16T07:37:39
Update：2025-03-22T00:06:46
https://accel-brain.co.jp
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