Training the data

The scripts that were written previously were combined with training the dataset. Let's start the training by importing all the modules that are developed in the previous sections as shown here:

from data_reader import Data_Readerimport data_parserfrom gensim.models import KeyedVectorsimport helper as hfrom seq_model import Chatbotimport tensorflow as tfimport numpy as np

Next, let's create a set of generic responses observed in the original seq2seq model which the policy gradients are trained to avoid:

generic_responses = [    "I don't know what you're talking about.",     "I don't know.",     "You don't know.",    "You know what I mean.",     "I know what you mean.",     "You know what I'm saying.",    "You don't know anything."]

Next, we ...

Get Python Reinforcement Learning Projects now with the O’Reilly learning platform.

O’Reilly members experience live online training, plus books, videos, and digital content from nearly 200 publishers.