Jupyter Notebook Block 1 - Introduction to Image Classification.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {
    "nbpresent": {
     "id": "df630e55-57dd-470a-849b-f1bc90ac719e"
    }
   },
   "source": [
    "# 1. Importing and Visualization of CIFAR-10 Dataset"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "nbpresent": {
     "id": "409a1ab7-fe1d-4430-b904-7694020a6223"
    }
   },
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "\n",
    "# function to import CIFAR-10 data set\n",
    "def unpickle(file):\n",
    "    import pickle\n",
    "    with open(file, 'rb') as fo:\n",
    "        dict = pickle.load(fo, encoding='bytes')\n",
    "    return dict\n",
    "data_batch_1 = unpickle(\"./data/data_batch_1\")\n",
    "data_batch_2 = unpickle(\"./data/data_batch_2\")\n",
    "data_batch_3 = unpickle(\"./data/data_batch_3\")\n",
    "data_batch_4 = unpickle(\"./data/data_batch_4\")\n",
    "data_batch_5 = unpickle(\"./data/data_batch_5\")\n",
    "test_batch = unpickle(\"./data/test_batch\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "nbpresent": {
     "id": "ce2be501-0be3-4750-8207-dfc00d7db01a"
    }
   },
   "source": [
    "What is the data structure of e.g. data_batch_1 ?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "nbpresent": {
     "id": "f77bd9ec-de3b-4c56-b08d-4a65f0780408"
    }
   },
   "outputs": [],
   "source": [
    "type(data_batch_1)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "nbpresent": {
     "id": "09a5b60b-dcbb-4f97-ab57-e4611c253e2e"
    }
   },
   "source": [
    "What are the keys of e.g. data_batch_1 ?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "nbpresent": {
     "id": "c874a7c9-de0c-4ccd-a0f1-8f8a3265a0b6"
    }
   },
   "outputs": [],
   "source": [
    "data_batch_1.keys()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "nbpresent": {
     "id": "a7f910e7-0b11-453b-84d5-df6ac88ac6dd"
    }
   },
   "source": [
    "What is the data structure of data_batch_1[b'data'] ?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "nbpresent": {
     "id": "fe299a35-c930-4078-97b7-c9b67f42ec42"
    }
   },
   "outputs": [],
   "source": [
    "type(data_batch_1[b'data'])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "nbpresent": {
     "id": "3f978c4f-50d0-4f00-9f19-bf8744e505a3"
    }
   },
   "source": [
    "What is the data structure of data_batch_1[b'labels'] ?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "nbpresent": {
     "id": "46a97575-36c0-4920-a8dc-762e94239b7e"
    }
   },
   "outputs": [],
   "source": [
    "type(data_batch_1[b'labels'])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "nbpresent": {
     "id": "2fd19982-c318-4303-8042-7a5a6998d175"
    }
   },
   "source": [
    "What is the shape of data_batch_1[b'data'] ?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "nbpresent": {
     "id": "b012720d-81f8-455d-8ce7-bfca64a842c8"
    }
   },
   "outputs": [],
   "source": [
    "data_batch_1[b'data'].shape"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "nbpresent": {
     "id": "378aeda2-a547-435e-b28b-09ceb0074a53"
    }
   },
   "source": [
    "What is the size of data_batch_1[b'labels'] ?\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "nbpresent": {
     "id": "49c776cb-c8aa-461b-a0da-4f4d38342e2e"
    }
   },
   "outputs": [],
   "source": [
    "len(data_batch_1[b'labels'])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "nbpresent": {
     "id": "02ca495c-e6d2-48d4-9bc2-2295272d5f6f"
    }
   },
   "source": [
    "What are the first 10 elements of data_batch_1[b'labels'] ?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "nbpresent": {
     "id": "438920f4-774e-4e94-9b7c-30a2106d163c"