Skip to content
master
Go to file
Code

Latest commit

 

Git stats

Files

Permalink
Failed to load latest commit information.
Type
Name
Latest commit message
Commit time
hw4
 
 
hw5
 
 
 
 

README.md

Deep Learning Assignments for EN.600.468 Machine Translation

Starting from 2017, we are using two newly developed homeworks for students to get familiar with the knowledge they learned in lectures on neural networks and neural machine translation. This repository contains the guidelines and the start code for these homeworks.

HW4 requires students to implement and train a bi-directional RNN language model to solve a pedagogical problem in language learning. This homework is designed to bring students with no prior deep learning experiences up to speed and be able to use deep learning frameworks to implement and test their ideas.

HW5 requires students to implement and train a neural machine translation model. This homeworks is designed to help students understand most of the bells and whistles of modern attention-based neural machine translation architecture.

As of 2017, all the starter code are written in PyTorch. We welcome contribution of starter code written in other deep learning frameworks.

About

New Assignments for mt-class.org/jhu

Resources

Releases

No releases published

Packages

No packages published
You can’t perform that action at this time.