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[](http://introtodeeplearning.com)
This repository contains all of the code and software labs for [MIT 6.S191: Introduction to Deep Learning](http://introtodeeplearning.com)! All lecture slides and videos are available on the course website.
## Opening the labs in Google Colaboratory:
The 2022 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.
On this Github repo, navigate to the lab folder you want to run (`lab1`, `lab2`, `lab3`) and open the appropriate python notebook (\*.ipynb). Click the "Run in Colab" link on the top of the lab. That's it!
## 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 3", and under "Hardware accelerator" select "GPU". Go through the notebooks and fill in the `#TODO` cells to get the code to compile for yourself!
### MIT Deep Learning package
You might notice that inside the labs we install the `mitdeeplearning` python package from the Python Package repository:
`pip install mitdeeplearning`
This package contains convienence functions that we use throughout the course and can be imported like any other Python package.
`>>> import mitdeeplearning as mdl`
We do this for you in each of the labs, but the package is also open source under the same license so you can also use it outside the class.
## Lecture Videos
[<img src="assets/video_play.png" width="500">](https://www.youtube.com/watch?v=njKP3FqW3Sk&list=PLtBw6njQRU-rwp5__7C0oIVt26ZgjG9NI&index=1)
All lecture videos are available publicly online and linked above! Use and/or modification of lecture slides outside of 6.S191 must reference:
> © MIT 6.S191: Introduction to Deep Learning
>
> http://introtodeeplearning.com
## License
All code in this repository is copyright 2022 [MIT 6.S191 Introduction to Deep Learning](http://introtodeeplearning.com). All Rights Reserved.
Licensed under the MIT License. You may not use this file except in compliance with the License. Use and/or modification of this code outside of 6.S191 must reference:
> © MIT 6.S191: Introduction to Deep Learning
>
> http://introtodeeplearning.com