So, let's go ahead and start implementing our classifier. Let's start off by importing the required packages for this implementation:
import tensorflow as tfimport matplotlib.pyplot as pltimport numpy as npimport random as ran
Next up, we are going to define some helper functions to make us able to subset from the original dataset that we have downloaded:
#Define some helper functions # to assign the size of training and test data we will take from MNIST datasetdef train_size(size): print ('Total Training Images in Dataset = ' + str(mnist_dataset.train.images.shape)) print ('############################################') input_values_train = mnist_dataset.train.images[:size,:] print ('input_values_train Samples Loaded = ' + ...
