The MNIST dataset is loaded and split into training and testing sets. The pixel values of the images are normalized to the range [0, 1] by dividing by 255. The labels are one-hot encoded using ...

import tensorflow_datasets as tfds train,test = tfds.load('binarized_mnist', split=['train', 'test']) EMNIST. Extended MNIST derived from MNIST in 2017 and developed by Gregory Cohen, Saeed Afshar, ...

The MNIST dataset is loaded and split into training and testing sets. The pixel values of the images are normalized to the range [0, 1] by dividing by 255. The labels are one-hot encoded using ...