November 2018
Intermediate to advanced
322 pages
7h 54m
English
Content preview from TensorFlow Machine Learning Projects
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Reconstructing sample images
We will also reconstruct some sample images to see how the model is performing. We will use the following images as the input:
The code for reconstructing the preceding images is as follows:
def reconstruct_sample(model, n_samples=5): x_test, y_test = load_data(load_type='test') sample_images, sample_labels = x_test[:BATCH_SIZE], y_test[:BATCH_SIZE] saver = tf.train.Saver() ckpt = tf.train.get_checkpoint_state(CHECKPOINT_PATH_DIR) with tf.Session() as sess: saver.restore(sess, ckpt.model_checkpoint_path) feed_dict_samples = {model.X: sample_images, model.Y: sample_labels} decoder_out, y_predicted = sess.run([
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