code: def _create_placeholders(self, n_features, n_classes):
          
          self.input_data = tf.placeholder(
              tf.float32, [None, n_features], name='x-input')
          self.input_labels = tf.placeholder(
              tf.float32, [None, n_classes], name='y-input')
          self.keep_prob = tf.placeholder(
              tf.float32, name='keep-probs')
docs: Create the TensorFlow placeholders for the model.
  
          :param n_features: number of features of the first layer
          :param n_classes: number of classes
          :return: self