mhfu0 / ADLxMLDS2017

Works for Applied Deep Learning / Machine Learning and Having It Deep and Structured (2017 FALL) @ NTU

ADLxMLDS2017

The repository is made to keep my works for the course: Applied Deep Learning / Machine Learning and Having It Deep and Structured (2017 Fall), held by Prof. Yun-Nung (Vivian) Chen and Prof. Hung-Yi Lee, National Taiwan University.

Course Description

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

Contents

• hw1: Sequence labeling using RNN and CNN. Output a phone sequence based on a frame-level speech sequence input.
• hw2: Video captioning using seq2seq model and attention. Generate captions based on VGG-16 video features.
• hw3: Game playing using deep reinforcement learing. Implement agents to learn and play Atari-games.
• hw4: Conditional image genearation using DCGAN. Generate images conditioning on the discription of given text.

Requirements

Python 3.5.3 tensorflow 1.3.0 Keras 2.0.8 scikit-learn 0.19.0 and others

References

• songrotek/DQN-Atari-Tensorflow
• mrahtz/tensorflow-rl-pong
• m516825/Conditional-GAN
• 莫烦Python