Neural Network Programming with TensorFlow

Basic autoencoder full code listing

The full code listing can be found here or can also be downloaded from GitHub--https://github.com/rajdeepd/neuralnetwork-programming/blob/ed1/ch07/basic_autoencoder_example.py:

import numpy as npimport sklearn.preprocessing as prepimport tensorflow as tffrom tensorflow.examples.tutorials.mnist import input_datafrom autencoder_models.auto_encoder import AutoEncoderimport mathimport matplotlib.pyplot as pltmnist = input_data.read_data_sets('MNIST_data', one_hot = True)class BasicAutoEncoder:    def __init__(self):        pass    def standard_scale(self,X_train, X_test):        preprocessor = prep.StandardScaler().fit(X_train)        X_train = preprocessor.transform(X_train)        X_test = preprocessor.transform(X_test)        return X_train, X_test ...