import tensorflow as tf



    for l in range(1, L):
        parameters['w' + str(l)] = tf.get_variable('w' + str(l), [layers[l], layers[l-1]],dtype= 'float64' , initializer= tf.contrib.layers.xavier_initializer(seed=1) )
        parameters['b' + str(l)] = tf.get_variable('b' + str(l), [layers[l], 1],dtype= 'float64', initializer = tf.zeros_initializer())
        parameters['beta' + str(l)] = tf.get_variable('beta'+ str(l), [layers[l], 1], dtype= 'float64', initializer = init, trainable= train )
