TensorFlow 1.x Deep Learning Cookbook

How to do it...

We proceed with the recipe as follows:

1. Import TensorFlow, tflearn, and the modules needed for building our network. Then, Import IMDb libraries and perform one-hot encoding and padding:

import tensorflow as tfimport tflearnfrom tflearn.layers.core import input_data, dropout, fully_connectedfrom tflearn.layers.conv import conv_1d, global_max_poolfrom tflearn.layers.merge_ops import mergefrom tflearn.layers.estimator import regressionfrom tflearn.data_utils import to_categorical, pad_sequencesfrom tflearn.datasets import imdb

2. Load the dataset, pad the sentences to maxlength with 0s, and perform one-hot encoding on the labels with two values corresponding to the true and one false value. Note that the parameter n_words is ...