Keras Deep Learning Cookbook

Full code listing 

The full code listing code is as follows:

from pandas import DataFrameimport numpy as npnp.random.seed(1337)from keras.models import Sequentialfrom keras.layers import Densefrom keras.layers import LSTM# binary encode an input pattern, by converting characters into int# return a list of binary vectorsdef encode(pattern, n_unique):    encoded = list()    for value in pattern:        row = [0.0 for x in range(n_unique)]        index = ord(value)        row[ord(value)] = 1.0        encoded.append(row)    return encoded# create input/output pairs of encoded vectors, returns X, ydef to_xy_pairs(encoded):    X,y = list(),list()    for i in range(1, len(encoded)):        X.append(encoded[i-1])        y.append(encoded[i])    return X, y# convert sequence to x/y pairs ready for use with ...