Let's show a short example of how to access the MNIST data and how to display a selected image.
We import the following libraries:
The numpy library because we have to do some image manipulation:
>>import numpy as np
The pyplot function in matplotlib for drawing the images:
>>import matplotlib.pyplot as plt
Finally, the mnist_data library, which you can download from the code repository of this book. It is a Google script that allows us to download the MNIST database and to build the dataset:
>>import mnist_data
Then we load the dataset using the read_data_sets method:
>>__input = mnist_data.read_data_sets("data")
The data is the name of the directory where the images will be uploaded.
The shape of the images and labels:
>>__input.train.images.shape
(60000, 28, 28, 1)
>>__input.train.labels.shape
(60000, 10)
>>__input...
