harry771/MLDS2017

Machine Learning and Having It Deep and Structured 2017 Spring @ National Taiwan University

Machine Learning and Having It Deep and Structured 2017 Spring

Introduction

This is a repository for homework and final project from Machine Learning and Having It Deep and Structured (MLDS) 2017 Spring from National Taiwan University.

The course introduces several state-of-the-art machine learning models.

For more information, please refer to the course page.

Homework 1: Language Modeling

Core Technique

Language Model

Introduction

The task is to complete the sentence with multiple choices given the contextual information.

For more details, please refer to the spec.

Homework 2: Video Caption Generation

Core Technique

Seq2seq & Attention

Introduction

Given a short video, please generate a caption that is appropriate with the video.

For more details, please refer to the spec.

Homework 3: Anime Generation

Core Technique

Generative Adversarial Networks

Introduction

Given some text descriptions, please generate some anime characters' faces that fit the descriptions.

For more details, please refer to the spec.

Homework 4: Chat-bot

Core Technique

Seq2Seq & Reinforcement learning

Introduction

Given a sentence, please generate a response that is appropriate.

For more details, please refer to the spec.

Final Project

Please refer to On the Effects of Batch Size and Batch Selection in Deep Learning.