def _create_placeholders(self, n_features, n_classes):

        self.input_data = tf.placeholder('float', [None, n_features], name='x-input')
        self.input_labels = tf.placeholder('float', [None, n_classes], name='y-input')
        self.keep_prob = tf.placeholder('float', name='keep-probs')
Called by the pyev watcher (self.read_watcher) whenever the socket
dataset/ETHPy150Open blackecho/Deep-Learning-TensorFlow/models/autoencoder_models/stacked_denoising_autoencoder.py/StackedDenoisingAutoencoder._create_placeholders--crossover with--dataset/ETHPy150Open bfrog/whizzer/whizzer/server.py/SocketServer._readable