Deep_Learning_Image_Classification_Nearest_Neighbor_classifier.ipynb

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  "cells": [
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      "cell_type": "markdown",
      "metadata": {
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      "source": [
        "<a href=\"https://colab.research.google.com/github/charaf19/Neural-Networks-from-scratch/blob/master/Deep_Learning_Image_Classification_Nearest_Neighbor_classifier.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
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    {
      "cell_type": "code",
      "source": [
        "import numpy as np"
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      "execution_count": 2,
      "outputs": []
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    {
      "cell_type": "markdown",
      "source": [
        "## Nearest Neighbor classifier"
      ],
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    {
      "cell_type": "code",
      "source": [
        "class NearestNeighbor:\n",
        "  def __init__(self):\n",
        "    pass\n",
        "  def train(self,X,y):\n",
        "    self.Xtre=X\n",
        "    self.ytr=y\n",
        "  def predict(self,X):\n",
        "    num_test = X.shape[0]\n",
        "    Ypred = np.zeros(num_test,dtype = self.ytr.dtype)\n",
        "    for i in xrange(num_test):\n",
        "      distance = np.sum(np.abs(self.Xtr-X[i,:]),axis=1)\n",
        "      min_index = np.argmin[distance]\n",
        "      Ypred[i]=self.ytr[min_index]\n",
        "    return Ypred"
      ],
      "metadata": {
        "id": "u4MLGUP_Ai1M"
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      "execution_count": null,
      "outputs": []
    }
  ]
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