From 8b1216c08b466a01e5345a1308117a7f4b5c2c9e Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?=E2=80=9CDorsaRoh=E2=80=9D?=
 <“dorsa.rohani@deepgenomics.com”>
Date: Thu, 1 Aug 2024 12:25:34 -0400
Subject: [PATCH] intial commit

---
 MNIST.ipynb                 | 54 +++++++++++++++++++++++++++++++++++++
 Neural Networks/notes.ipynb | 47 ++++++++++++++++++++++++++++++++
 2 files changed, 101 insertions(+)
 create mode 100644 MNIST.ipynb
 create mode 100644 Neural Networks/notes.ipynb

diff --git a/MNIST.ipynb b/MNIST.ipynb
new file mode 100644
index 0000000..f090e72
--- /dev/null
+++ b/MNIST.ipynb
@@ -0,0 +1,54 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# MNIST Digit Classification (from scratch!)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Background: MNIST is a dataset of images of single digits. \n",
+    "\n",
+    "Here, you will find the code for digit classification of the MNIST dataset (digits 1-9) **from scratch**.\n",
+    "\n",
+    "<br>My goal is to investigate the differences and similarity between **multilayer perceptons (a type of artificial neural network) are to the human brain (biological neural networks)**."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### Key Notes\n",
+    "\n",
+    "- Every progressive layer in the network corresponds to increasingly larger and larger edges. Etc. The second layer corresponds to small edges, and the next layer corresponds to overall shapes (ex. a loop) from those small edges\n",
+    "    - pixels -> edges -> patterns -> digits\n",
+    "- "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "language_info": {
+   "name": "python"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}
diff --git a/Neural Networks/notes.ipynb b/Neural Networks/notes.ipynb
new file mode 100644
index 0000000..3d3111d
--- /dev/null
+++ b/Neural Networks/notes.ipynb	
@@ -0,0 +1,47 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Neural Networks"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### Different types\n",
+    "\n",
+    "- Multilayer perceptron (plain vanilla neural network)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### Key Vocabulary\n",
+    "\n",
+    "- **Neuron**: thing that holds a number\n",
+    "    - The number held is called the neuron's **activation**\n",
+    "\n",
+    "- **Hidden Layers**: layers between the input & output layers\n",
+    "    - the activations from one layer determine the activations of the next layer"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "language_info": {
+   "name": "python"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}