Intro to CV Update READMEs and file structure

Author: arth-shukla

2023/SP23/intro-cv-series/README.md

@@ -46,8 +46,8 @@ intro-cv-series
     | -- workshop-1
         | -- [Workshop 1 Resources]
     | -- ...
-    | -- Default_Main_Header_Dark.png
-    | -- Default_Main_Header_Light.png
+    | -- CV_Main_Header_Dark.png
+    | -- CV_Main_Header_Light.png
     | -- ...
     | -- README.md
 ```
@@ -60,45 +60,27 @@ intro-cv-series
 
 # 2. Getting Started
 
-## 2.1 Workshop 1 - Intro to CV: Pytorch and Neural Networks
+## 2.1 Workshop 1 - Intro to CV: Pytorch and Image Classification
 
 <!-- 
     You can write something up for each worksop or use their marketing descriptions.
 -->
 
-An introduction to Pytorch, basic machine learning formulations, and neural networks. This workshop will lead students through developing a multi layer neural network to classify handwritten digits from the MNIST dataset, and provide the foundation and intuitions for students to begin tackling basic computer vision problems on their own, and empower their own learning.
-
-Slides: 
-<!-- 
-    SECTION: Resources
-    ---------
-    Make sure to cite everything you use, whether directly or for inspiration!
--->
+Interested in learning about Computer Vision - teaching computers to process and classify images? Come to our 1st of 3 Intro to CV Workshops this quarter! In this workshop, participants will receive a code-focused, interactive introduction to Pytorch, Neural Networks, and Image Classification in MNIST. Make sure to bring a computer, as we will have interactive notebooks for participants to code along with the presenters.
 
 ## 2.2 Workshop 2 - Intro to CV: Convolutional Neural Networks
 
 <!-- 
     You can write something up for each worksop or use their marketing descriptions.
 -->
 
-N/A
-
-Slides: 
-<!-- 
-    SECTION: Resources
-    ---------
-    Make sure to cite everything you use, whether directly or for inspiration!
--->
 
 ## 2.3 Workshop 3 - Intro to CV
 
 <!-- 
     You can write something up for each worksop or use their marketing descriptions.
 -->
 
-N/A
-
-Slides: 
 
 <!-- 
     SECTION: Resources
@@ -110,8 +92,6 @@ Slides:
 
 ## 3.1 Workshop 1 - Intro to CV: Pytorch and Neural Networks
 
-- 
-
 ## 3.2 Workshop 2 - Intro to CV: Convolutional Neural Networks
 
 ## 3.3 Workshop 3 - Intro to CV

2023/SP23/intro-cv-series/workshop-1/Intro_to_CV.ipynb renamed to 2023/SP23/intro-cv-series/workshop-1/Main_Notebook_Intro_to_CV_Workshop_1_Pytorch_and_Image_Classification.ipynb

@@ -44,29 +44,8 @@ The official ACM AI **Intro to CV: Pytorch and Neural Networks** repository. Her
     is posted to the ACMUCSD YT channel (https://www.youtube.com/channel/UCyjPATFqc3FwOiuqJ2UG1Eg), replace the text with an <img> element.
 -->
 
-# 1. Getting Started
 
-<!-- 
-    You can write something up or use the marketing description.
--->
-
-## 1.1 Environment Setup
-
-```
-conda env create -f environment.yaml
-conda activate ai
-```
-
-Workshop "Intro to CV: Neural Networks" consists of 2 components:
-- [Notebook](<!-- Local Path to Notebook -->) with completed code and explanations.
-- [Slide Deck](<!-- Local Path to Slide Deck -->) for the presentation slides
-
-<!-- 
-    Note: The above list will depend on your specific workshop.
--->
-
-
-# 2. Workshop Video
+# 1. Workshop Recording
 
 *Will be added as soon as uploaded to YouTube*
 
@@ -88,23 +67,35 @@ Workshop "Intro to CV: Neural Networks" consists of 2 components:
     Write out your File Directory Structure below (make sure it's up-to-date)
 -->
 
-# 3. File Directory Structure
+# 2. File Directory Structure
 
 ```bash
-intro-ai-series
+workshop-1
     | -- figures
-        | -- DefaultW1_Header_Dark.png
-        | -- DefaultW1_Header_Light.png
-    | -- src
-        | -- videos # where the videos of our agent traversing the FrozenLake grid are stored
-        | -- main.py # calls the core search algorithms
-        | -- search.py # where we define the core search algorithms for our AI agent
-        | -- test.py # for testing determinstic trajectories in FrozenLake enviroment
+        | -- CVW1_Header_Dark.png
+        | -- CVW1_Header_Light.png
+    | -- Main_Notebook_Intro_to_CV_Workshop_1_Pytorch_and_Image_Classification.ipynb
+    | -- Interactive_Notebook_Intro_to_CV_Workshop_1_Pytorch_and_Image_Classification.ipynb
     | -- README.md
+
 ```
 
 <!-- 
     SECTION: Getting Started
     ---------
     Brief description of your workshop here
+-->
+
+## 3 Getting Started
+
+Interested in learning about Computer Vision - teaching computers to process and classify images? Come to our 1st of 3 Intro to CV Workshops this quarter! In this workshop, participants will receive a code-focused, interactive introduction to Pytorch, Neural Networks, and Image Classification in MNIST. Make sure to bring a computer, as we will have interactive notebooks for participants to code along with the presenters.
+
+Workshop 1 consists of 4 components:
+- [Presentation](./presentation-resources/) used during the workshop.
+- [Main Notebook](./Main_Notebook_Intro_to_CV_Workshop_1_Pytorch_and_Image_Classification.ipynb) with completed code and explanations.
+- [Interactive Notebook](./Interactive_Notebook_Intro_to_CV_Workshop_1_Pytorch_and_Image_Classification.ipynb) with questions and exercises for the reader.
+- [Summary Graphic](./presentation-resources/) to summarize key points of the workshop.
+
+<!-- 
+    Note: The above list will depend on your specific workshop.
 -->