chammika

from keras.models import Model
from keras.layers import Input
from keras.layers import LSTM, Dense, SimpleRNN
from numpy import array
import numpy as np
import keras


def SimpleRNN_forward(weights, inputs, return_sequence=False):
    kernel = np.array(weights[0])    # kernel weights