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Deep learning works for ADLxMLDS (CSIE 5431) in NTU

Home Page: https://www.csie.ntu.edu.tw/~yvchen/f106-adl/index.html

License: Apache License 2.0

Python 99.88% Shell 0.12%
seq2seq sequence-labeling video-captioning deep-reinforcement-learning atari-games gan conditional-gan dcgan s2vt image-generation

adlxmlds2017's Introduction

ADLxMLDS2017

Applied Deep Learning / Machine Learning and Having It Deep and Structured

Description:

Learning the basic theory of deep learning and how to apply to various applications

Repo. content:

  • Sequence labeling: Use RNN to improve phone recognition [link]
  • Vedio caption: Given a video (mfcc adn fbank features here) and generate texts to describe the video [link]
  • Game playing: Use Deep reinforce learning algo to play Atari games [link]
  • Comic generation: Implement conditional Deep convolution GAN to generate anime faces given hair and eyes color [link]

Experiment environment:

  • OS: Ubuntu 16.04.3 LTS
  • Python 3
  • GPU: 1080 Ti (11G RAM)
  • CPU: Xeon(R) E5-2667 v4
  • RAM: 500 GB

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