kmjjacobs

# The goal of this Gist is to implement a simple (Logistic Regression) model such that most of the functionalities of Chainer are used
# @author  K.M.J. Jacobs
# @date    2018-02-24
# @website https://www.data-blogger.com

import chainer
from chainer import reporter as reporter_module
from chainer.training.extensions import LogReport
from chainer import iterators
from chainer import training

kmjjacobs

# Code for https://www.data-blogger.com/2017/12/14/create-a-character-based-seq2seq-using-python-and-tensorflow/

# Imports
import tensorflow as tf
import pandas as pd
from nltk import word_tokenize
from collections import Counter
import numpy as np

# Load the data

kmjjacobs

#%% (0) Important libraries
import tensorflow as tf
import numpy as np
from numpy import random
import matplotlib.pyplot as plt
from IPython import display
% matplotlib inline

#%% (1) Dataset creation.