TensorFlow Machine Learning Cookbook - Second Edition

How to do it...

We will proceed with the recipe as follows:

1. We will start by loading the necessary libraries. This time, we are loading the scikit-learn TF-IDF preprocessing library for our texts. Use the following code to do this:

import tensorflow as tf 
import matplotlib.pyplot as plt 
import csv 
import numpy as np 
import os 
import string 
import requests 
import io 
import nltk 
from zipfile import ZipFile 
from sklearn.feature_extraction.text import TfidfVectorizer

2. We will start a graph session and declare our batch size and maximum feature size for our vocabulary:

sess = tf.Session() 
batch_size= 200 
max_features = 1000 

3. Next, we will load the data, either from the web or from our temp data folder if we have saved it before. Use the following ...