@classmethod
def fully_connected_relu(cls, in_tensor, layer_name, out_chan, trainable=True):
    tensor = cls.fully_connected(in_tensor, layer_name, out_chan, trainable)
    out_tensor = tf.maximum(tensor, (cls.neg_slope_of_relu * tensor), name='out')
    return out_tensor
@classmethod
def fully_connected_relu(cls, in_tensor, layer_name, out_chan, trainable=True):
    tensor = cls.fully_connected(in_tensor, layer_name, out_chan, trainable)
    out_tensor = tf.maximum(tensor, (cls.neg_slope_of_relu * tensor), name='out')
    return out_tensor