2-1-4-ExploringLoss.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 69
    },
    "colab_type": "code",
    "id": "PwrR2q7tZKPi",
    "outputId": "67c66373-4df0-4580-a15a-bb76df6beabf"
   },
   "outputs": [],
   "source": [
    "import math\n",
    "# Edit these parameters to try different loss measurements. Rerun this cell when \n",
    "# done. Your Y will be calculated as Y=wX+b, so if w=3, and b=-1, then Y=3x-1.\n",
    "\n",
    "w = 3\n",
    "b = -1\n",
    "\n",
    "x = [-1, 0, 1, 2, 3, 4]\n",
    "y = [-3, -1, 1, 3, 5, 7]\n",
    "myY = []\n",
    "\n",
    "\n",
    "for thisX in x:\n",
    "  thisY = (w*thisX)+b\n",
    "  myY.append(thisY)\n",
    "\n",
    "print(f\"Real Y is {str(y)}\")\n",
    "print(f\"My Y is   {str(myY)}\")\n",
    "\n",
    "# let's calculate the loss\n",
    "total_square_error = 0\n",
    "for i in range(0, len(y)):\n",
    "  square_error = (y[i] - myY[i]) ** 2\n",
    "  total_square_error += square_error\n",
    "\n",
    "print(f\"My loss is: {str(math.sqrt(total_square_error))}\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "colab": {
   "name": "ExploringLoss.ipynb",
   "provenance": []
  },
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.10.11"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 1
}