Update Intro_to_CV.ipynb

Finished section 1.1. Added in information about what the workshop will be focused on, background knowledge, etc

Author: Wei-Ji-Chen

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

@@ -32,7 +32,9 @@
       "cell_type": "markdown",
       "metadata": {},
       "source": [
-        "Welcome to Intro to Computer Vision! This will be a three part workshop series focused on building an overview of the underlying algorithms and applications of Computer Vision. For today's workshop, we'll be focusing on PyTorch - a machine learning framework used for AI applications - and neural networks - the foundational concept underlying computer vision algorithms such as CNN (Convolutional Neural Networks) that power visual imagery analysis. Let's get started!"
+        "Welcome to Intro to Computer Vision! This will be a three part workshop series focused on building an overview of the underlying algorithms and applications of Computer Vision. For our first workshop, we'll be focusing on PyTorch - a machine learning framework used for AI applications - and neural networks - the foundational concept underlying computer vision algorithms such as CNN (Convolutional Neural Networks) that power visual imagery analysis. \n",
+        "\n",
+        "Let's get started!"
       ]
     },
     {
@@ -42,7 +44,35 @@
       "source": [
         "What is Computer Vision? \n",
         "\n",
-        "Computer Vision is a subfield of AI that focuses on computers deriving and understanding information based on visual data - images, videos, etc"
+        "Computer Vision is a subfield of AI that focuses on computers deriving and understanding information based on visual data - images, videos, etc. The applications are numerous including but not limited to autonomous vehicles, facial recognition, and medical imaging. "
+      ]
+    },
+    {
+      "attachments": {},
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "Terminology \n",
+        "\n",
+        "Before diving into Computer Vision, we have to understand the terminology relevant to AI. Often times, we hear these words being tossed around, and even used interchangeably: Artificial Intellignece, Machine Learning, Deep Learning, Neural Networks, etc. What do they mean and what's their relationship with each other? \n",
+        "\n",
+        "Artificial Intelligence is a field that aims to enable computers to think like humans. \n",
+        "\n",
+        "Machine Learning is a subset of AI. It's a process of using mathematical models and data to train computers to learn without direct instruction. \n",
+        "\n",
+        "Deep Learning is a subset of ML. Deep Learning models are modeled after human brains in order to increase machine performance in complex tasks. \n",
+        "\n",
+        "Neural Networks are the backbone of deep learning. They're structured as interconnected nodes. The 'deep' in DL refers to multiple layers of neural networks to form a structure resembling the human brain\n",
+        "\n",
+        "Computer Vision is simply the application of AI to visual data. \n"
+      ]
+    },
+    {
+      "attachments": {},
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "Now that we're clear o the terminology, let's talk about the default method to mimic human intelligence, Machine Learning. In doing so, you will see why neural networks and deep learning exist - and their necessity in Computer Vision. We'll be using the MNIST dataset to demostrate ML. "
       ]
     },
     {