Format: application/octet-stream
1 {
2 "cells": [
3 {
4 "cell_type": "code",
5 "execution_count": 1,
6 "id": "501e1952",
7 "metadata": {},
8 "outputs": [],
9 "source": [
10 "import tensorflow as tf\n",
11 "from tensorflow import keras\n",
12 "from tensorflow.keras.preprocessing.text import Tokenizer\n",
13 "from tensorflow.keras.preprocessing.sequence import pad_sequences"
14 ]
15 },
16 {
17 "cell_type": "code",
18 "execution_count": null,
19 "id": "36550268",
20 "metadata": {},
21 "outputs": [],
22 "source": []
23 }
24 ],
25 "metadata": {
26 "kernelspec": {
27 "display_name": "Python 3",
28 "language": "python",
29 "name": "python3"
30 },
31 "language_info": {
32 "codemirror_mode": {
33 "name": "ipython",
34 "version": 3
35 },
36 "file_extension": ".py",
37 "mimetype": "text/x-python",
38 "name": "python",
39 "nbconvert_exporter": "python",
40 "pygments_lexer": "ipython3",
41 "version": "3.8.8"
42 }
43 },
44 "nbformat": 4,
45 "nbformat_minor": 5
46 }
47