Skip to content

Lab Materials for MIT 6.S191: Introduction to Deep Learning

Notifications You must be signed in to change notification settings

psky1111/introtodeeplearning_labs

 
 

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

MIT 6.S191: Introduction to Deep Learning

This repository contains all of the code and software labs for MIT 6.S191: Introduction to Deep Learning! All lecture slides and videos are available on the course website.

Opening the labs in Google Colaboratory:

The 2019 6.S191 labs will be run in Google's Colaboratory, a Jupyter notebook environment that runs entirely in the cloud, you don't need to download anything. To run these labs, you must have a Google account. You have two options to open these labs in Colab.

Option 1: On this Github repo, navigate to the lab you want to run and open the appropriate python notebook (*.ipynb). Click the "Run in Colab" link on the top of the lab. That's it!

Option 2: Go to Colab, and then select the "GitHub" tab in the pop-up window. Enter the GitHub link to the 6.S191 Repository, and open the relevant lab.

Running the labs

Now, to run the labs, open the Jupyter notebook on Colab. Navigate to the "Runtime" tab --> "Change runtime type". In the pop-up window, under "Runtime type" select "Python 2", and under "Hardware accelerator" select "GPU". Go through the notebooks and fill in the #TODO cells to get the code to compile for yourself!

About

Lab Materials for MIT 6.S191: Introduction to Deep Learning

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages

  • Jupyter Notebook 98.8%
  • Python 1.2%