{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "c32784db",
   "metadata": {},
   "outputs": [],
   "source": [
    "import tensorflow as tf\n",
    "import numpy as np"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "e9b3d092",
   "metadata": {},
   "outputs": [],
   "source": [
    "mnist= tf.keras.datasets.mnist"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "2facc286",
   "metadata": {},
   "outputs": [],
   "source": [
    "(x_tr,y_tr),(x_te,y_te)=mnist.load_data()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "954669c1",
   "metadata": {},
   "outputs": [],
   "source": [
    "x_tr = tf.keras.utl"
   ]
  }
 ],
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