final 2022 edits

Author: aamini

README.md

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 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.
 
+# Instructions
+6.S191 software labs are designed to be completed at your own pace. At the end of each of the labs, there will be instructions on how you can submit your notebook for grade. Additionally, if you would like to submit your lab as part of the 6.S191 lab competitions, instructions regarding what information must be submitted is also provided at the end of each lab.
 
 ## Opening the labs in Google Colaboratory:
 

README.md~

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+[![banner](assets/banner.png)](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