Training the model

We will train a model for matching these question pairs. Let's start by importing the relevant libraries, as follows:

import sys
import os
import pandas as pd
import numpy as np
import string
import tensorflow as tf

Following is a function that takes a pandas series of text as input. Then, the series is converted to a list. Each item in the list is converted into a string, made lower case, and stripped of surrounding empty spaces. The entire list is converted into a NumPy array, to be passed back:

def read_x(x):
    x = np.array([list(str(line).lower().strip()) for line in x.tolist()])
return x

Next up is a function that takes a pandas series as input, converts it to a list, and returns it as a NumPy array:

def read_y(y):
return np.asarray(y.tolist())

The next function splits the data for training and validation. Validation data is helpful to see how well the model trained on the training data generalizes with unseen data. The data for validation is randomly picked by shuffling...