TensorFlow Machine Learning Cookbook - Second Edition

How to do it...

We will proceed with the recipe as follows:

1. We will begin by loading the necessary libraries and starting a graph session:

import tensorflow as tf 
import matplotlib.pyplot as plt 
import numpy as np 
import random 
import os 
import pickle 
import string 
import requests 
import collections 
import io 
import tarfile 
import urllib.request 
import text_helpers 
from nltk.corpus import stopwords 
sess = tf.Session() 

2. Now we will declare the model parameters. The embedding size should be the same as the embedding size we used to create the preceding CBOW embeddings. Use the following code to do this:

embedding_size = 200 
vocabulary_size = 2000 
batch_size = 100 
max_words = 100 
stops = stopwords.words('english') 

3. We will load and transform ...