AI, Machine Learning, Artificial Intelligence, Deep Learning, Data Science.
x_train.astype('float32') / 255. x_test = x_test.astype('float32') / 255. # Perform PCA on the training data pca = PCA(n_components=32) pca.fit(x_train) x_train_pca = pca.transform(x_train) x_test_pca = pca.transform(x_test) # Define the autoencoder architecture input_img = Input(shape=(784,))