MNIST¶

Various functions for accessing the MNIST dataset.

dynn.data.mnist.download_mnist(path='.', force=False)¶

Downloads MNIST from “http://yann.lecun.com/exdb/mnist/”

Parameters:	path (str, optional) – Local folder (defaults to “.”) force (bool, optional) – Force the redownload even if the files are already at `path`

dynn.data.mnist.load_mnist(path)¶

Loads the MNIST dataset

Returns MNIST as a dictionary.

Example:

mnist = load_mnist(".")
# Train images and labels
train_imgs, train_labels = mnist["train"]
# Test images and labels
test_imgs, test_labels = mnist["test"]

The images are represented as numpy arrays and the labels as integers.

Parameters:	path (str) – Path to the folder containing the `*-ubyte.gz` files
Returns:	MNIST dataset
Return type:	dict

dynn.data.mnist.read_mnist(split, path)¶

Iterates over the MNIST dataset

Example:

for image in read_mnist("train", "/path/to/mnist"):
    train(image)

Parameters:	split (str) – Either `"training"` or `"test"` path (str) – Path to the folder containing the `*-ubyte` files
Returns:	image, label
Return type:	tuple