TensorFlow 1.x Deep Learning Cookbook

How to do it...

We proceed with the recipes as follows:

1. Import the modules that are required. We will be definitely using TensorFlow; we will also need numpy for some elementary matrix calculation, and matplotlib, mpl_toolkit, and seaborn for the plotting:

import tensorflow as tfimport numpy as npimport matplotlib.pyplot as pltfrom mpl_toolkits.mplot3d import Axes3Dimport seaborn as sns%matplotlib inline

2. We load the dataset--we will use our favorite MNIST dataset:

from tensorflow.examples.tutorials.mnist import input_datamnist = input_data.read_data_sets("MNIST_data/")

3. We define a class, TF_PCA, which will implement all our work. The class is initialized as follows:

def __init__(self, data,  dtype=tf.float32):        self._data = data self._dtype ...