主題：深度學習 Deep learning
地點：台北老地方
時間：2017/5/6 – 7
會議主持：蘇豐文老師
流程表與報告內容：
day1 (5/6)
[10:30 – 12:00]
君衡 – AutoEncoder
Odilon – RBM for collaborative filtering
哲宇 – Donahue Long-Term Recurrent Convolutional
[13:00 – 15:00]
聖約 – Playing Atari with Deep Reinforcement Learning
念澄 – Efficient Estimation of Word Representations in Vector Space
潘磊 – Deep content-based music recommendation
啟聖 – Introduction of CNN
[15:30 – 17:30]
嘉容 – Convolutional neural network architectures for predicting DNA–protein binding
玉彬 – Accurate prediction of single-cell DNA methylation states using deep learning
昱臻 – Deep Learning for Drug-Induced Liver Injury
奇謀 – Distilling The Knowledge In A Neuron Network
day2 (5/7)
[9:10 – 10:40]
冠元 – Generative Adversarial Network
謙 – Generative Adversarial Active Learning
健元 – Neural proposition presentation
活動剪集：
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