How to do it...

  1. Here, we will start in the same way as before, by loading the necessary libraries and setting the TensorFlow flags as follows:
import osimport reimport ioimport sysimport requestsimport numpy as npimport tensorflow as tffrom zipfile import ZipFilefrom tensorflow.python.framework import opsops.reset_default_graph()# Define App Flagstf.flags.DEFINE_string("storage_folder", "temp", "Where to store model and data.")tf.flags.DEFINE_float('learning_rate', 0.0005, 'Initial learning rate.')tf.flags.DEFINE_float('dropout_prob', 0.5, 'Per to keep probability for dropout.')tf.flags.DEFINE_integer('epochs', 20, 'Number of epochs for training.')tf.flags.DEFINE_integer('batch_size', 250, 'Batch Size for training.')tf.flags.DEFINE_integer('rnn_size', ...

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