Classifying fashion products using CNN

We will now see how to use CNN for classifying fashion products.

First, we will import our required libraries as usual:

import tensorflow as tf
import numpy as np
import matplotlib.pyplot as plt
%matplotlib inline

Now, we will read the data. The dataset is available in tensorflow.examples, so we can directly extract the data as follows:

from tensorflow.examples.tutorials.mnist import input_data
fashion_mnist = input_data.read_data_sets('data/fashion/', one_hot=True)

We will check what we have in our data:

print("No of images in training set {}".format(fashion_mnist.train.images.shape))
print("No of labels in training set {}".format(fashion_mnist.train.labels.shape))

print("No of images in test set {}".format(fashion_mnist.test.images.shape))
print("No of labels in test set {}".format(fashion_mnist.test.labels.shape))

No of images in training set (55000, 784)
No of labels in training set (55000, 10)
No of images in test set (10000, 784)
No of labels in test...