Keras Deep Learning Cookbook

How to do it...

Let's look at the code on how to load MNIST data into numpy arrays using the keras.datasets.mnist class:

from keras.datasets import mnist(X_train, y_train), (X_test, y_test) = mnist.load_data()print("X_train shape: " + str(X_train.shape))print("y_train shape: " + str(y_train.shape))print("X_test shape: " + str(X_test.shape))print("y_test shape: " + str(y_test.shape))

The output of the preceding list shows the following dataset shape:

X_train shape: (60000, 28, 28)y_train shape: (60000,)X_test shape: (10000, 28, 28)y_test shape: (10000,)

Next, let's look at how to load data from a .csv file.