TensorFlow Machine Learning Cookbook - Second Edition

How to do it...

1. We start by loading the libraries required for this script:

import os 
import re 
import io 
import requests 
import numpy as np 
import matplotlib.pyplot as plt 
import tensorflow as tf 
from zipfile import ZipFile 

2. Next, we start a graph session and set the RNN model parameters. We will run the data through 20 epochs, in batch sizes of 250. The maximum length of each text we will consider is 25 words; we will cut longer texts to 25 or zero-pad shorter texts. The RNN will be size 10 units. We will only consider words that appear at least 10 times in our vocabulary, and every word will be embedded in a trainable vector of size 50. The dropout rate will be a placeholder that we can set at 0.5 during training time or 1.0 during ...