afhuertass

# -*- coding: utf-8 -*-
"""petro_trainer.ipynb

Automatically generated by Colaboratory.

Original file is located at
    https://colab.research.google.com/drive/1CMt3EPhTu2wXFWUfYCxoV0ZGjA7ElJyM
"""

!apt-get install -y -qq software-properties-common python-software-properties module-init-tools

afhuertass

def build_model( ncapas , sequence_len , vocab_size , dropout ):
    hidden_layers_dim = HIDDEN_LAYERS_DIM
    model = Sequential()
    for i in range( ncapas ):
        model.add(
            CuDNNLSTM(
                hidden_layers_dim , 
                return_sequences=True if (i!=(layer_count-1)) else False,
                input_shape=( sequence_len , vocab_size ),
            )

afhuertass

import pandas as pd
import numpy as np
import re
import unidecode

from keras.models import Sequential
from keras.layers import LSTM, Dropout, Activation, Dense , CuDNNLSTM

import string
from keras.callbacks import ModelCheckpoint, EarlyStopping