(MUST) Prerequisite for Python
Topics
Materials and Codes
1st Session
(8/6, 14:00~15:30)
(Lecture) Deep Learning 101 - Part 1.
(Optional)
2nd Session
(8/9, 14:00~15:30)
(Lecture) Deep Learning 101 - Part 2.
5th Session
(8/20, 14:00~15:30)
Convolutional Neural Network (CNN)
- (Application for NLP) Sentence Classification
(Optional)
6th Session
(8/23, 14:00~15:30)
Recurrent Neural Network (RNN)
- (Application for NLP) Machine Translation (Sequence-to-Sequence)
7th Session
(8/27, 14:00~15:30)
Deep Reinforcement Learning
- Deep Q-Network (DQN)
(Optional)
8th Session
(8/30, 14:00~15:30)
Leveraging Deep Learning on Your Computer
- Supervised Learning using Amazon Mechanical Turk
- How to Use Cloud-based APIs
- Running Deep Learning on the Cloud (Amazon Web Service)
Acknowledgement
My tutorial codes owe largely to the following sources: