python-kerasHow do I use Python and Keras to access datasets?

Using Python and Keras to access datasets is a simple process. The following example code will illustrate how to do this:

import numpy as np
from keras.datasets import mnist

# Load the MNIST dataset
(x_train, y_train), (x_test, y_test) = mnist.load_data()

This code will load the MNIST dataset, which is a collection of handwritten digits, into the variables x_train, y_train, x_test, and y_test.

The code consists of the following parts:

1. import numpy as np imports the NumPy library, which is used for scientific computing in Python.
2. from keras.datasets import mnist imports the mnist dataset from the Keras library.
3. (x_train, y_train), (x_test, y_test) = mnist.load_data() loads the MNIST dataset into the variables x_train, y_train, x_test, and y_test.

For more information on accessing datasets with Python and Keras, see the following links:

• Keras Documentation - Datasets
• Python Programming Tutorials - Loading Data with Python

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