Format: application/octet-stream
1 {
2 "cells": [
3 {
4 "cell_type": "code",
5 "execution_count": 4,
6 "id": "c32784db",
7 "metadata": {},
8 "outputs": [],
9 "source": [
10 "import tensorflow as tf\n",
11 "import numpy as np"
12 ]
13 },
14 {
15 "cell_type": "code",
16 "execution_count": 10,
17 "id": "e9b3d092",
18 "metadata": {},
19 "outputs": [],
20 "source": [
21 "mnist= tf.keras.datasets.mnist"
22 ]
23 },
24 {
25 "cell_type": "code",
26 "execution_count": 12,
27 "id": "2facc286",
28 "metadata": {},
29 "outputs": [],
30 "source": [
31 "(x_tr,y_tr),(x_te,y_te)=mnist.load_data()"
32 ]
33 },
34 {
35 "cell_type": "code",
36 "execution_count": null,
37 "id": "954669c1",
38 "metadata": {},
39 "outputs": [],
40 "source": [
41 "x_tr = tf.keras.utl"
42 ]
43 }
44 ],
45 "metadata": {
46 "kernelspec": {
47 "display_name": "Python 3",
48 "language": "python",
49 "name": "python3"
50 },
51 "language_info": {
52 "codemirror_mode": {
53 "name": "ipython",
54 "version": 3
55 },
56 "file_extension": ".py",
57 "mimetype": "text/x-python",
58 "name": "python",
59 "nbconvert_exporter": "python",
60 "pygments_lexer": "ipython3",
61 "version": "3.8.8"
62 }
63 },
64 "nbformat": 4,
65 "nbformat_minor": 5
66 }
67