MNIST contains grayscale 28 × 28 images of handwritten digits labeled from 0 through 9. It provides 60,000 training images and 10,000 test images for classification. section 2.1
The dataset is organized into four corresponding arrays:
- train_images and train_labels provide images and digit labels for learning. section 2.1
- test_images and test_labels provide held-out images and labels for evaluation. section 2.1
- Images are stored as arrays, while labels identify classes from 0 through 9. section 2.1
Load MNIST in Keras
library(keras3) [[train_images, train_labels], [test_images, test_labels]] <- dataset_mnist() section 2.1
Listing 2.1 Loading the MNIST dataset in Keras
library(keras3) .[.[train_images, train_labels], .[test_images, test_labels]] <- dataset_mnist()
Inspect the runnable R/Keras loading example and connect each returned array to the training and test workflow. section 2.1
