Lab Materials for MIT 6.S191: Introduction to Deep Learning
Switch branches/tags
Nothing to show
Clone or download
aamini Merge pull request #14 from mahendrakariya/master
Import UUID to avoid failure
Latest commit c7b3c0f Apr 24, 2018
Permalink
Type Name Latest commit message Commit time
Failed to load latest commit information.
lab1 Merge pull request #12 from mahendrakariya/master Apr 18, 2018
lab2 Import UUID to avoid failure Apr 20, 2018
.gitignore complete version without solutions Jan 28, 2018
README.md Add link to Docker image Apr 16, 2018
WindowsDocker.md Update WindowsDocker.md Feb 11, 2018

README.md

MIT 6.S191: Introduction to Deep Learning

Installation:

To run these labs, first you must install the class docker container, which is available for free on the DockerHub. This can be done by first installing Docker: Ubuntu, Mac OSX, Windows

For additional help to install Docker on Windows please see: this link -- thanks to Elrashid for putting it together!

Starting the enviornment

Once you donwload docker all you need to do is run the container to start! This can be done by running the following command in your command terminal:

docker run -p 8888:8888 -p 6006:6006 -v /path/to/introtodeeplearning_labs:/notebooks/introtodeeplearning_labs mit6s191/iap2018:labs

Make sure you replace /path/to/introtodeeplearning_labs with the correct path to this github repo.

Running the labs

Now, to run the labs, open the Jupyter notebook on localhost:8888 and enter the lab1 or lab2 directory. Go through the notebooks and fill in the #TODO cells to get the code to compile for yourself!