2023 update to readme

Author: avaamini

README.md

@@ -1,13 +1,13 @@
 [![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.
+This repository contains all of the code and software labs for [MIT Introduction to Deep Learning](http://introtodeeplearning.com)! All lecture slides and videos are available on the program 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.
+MIT Introduction to Deep Learning 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 materials as part of the lab competitions. These instructions include what information must be submitted and in what format.
 
 ## 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.
+The 2023 Introduction to Deep Learning labs will be run in Google's Colaboratory, a Jupyter notebook environment that runs entirely in the cloud, so 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!
 
@@ -30,17 +30,17 @@ We do this for you in each of the labs, but the package is also open source unde
 
 [<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:
+All lecture videos are available publicly online and linked above! Use and/or modification of lecture slides outside of MIT Introduction to Deep Learning must reference:
 
-> © MIT 6.S191: Introduction to Deep Learning
+> © MIT 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.
+All code in this repository is copyright 2023 [MIT 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:
+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 MIT Introduction to Deep Learning must reference:
 
-> © MIT 6.S191: Introduction to Deep Learning
+> © MIT Introduction to Deep Learning
 >
 > http://introtodeeplearning.com