brainpy.datasets.vision.FashionMNIST#

class brainpy.datasets.vision.FashionMNIST(root, train=True, transform=None, target_transform=None, download=False)[source]#

Fashion-MNIST Dataset.

Parameters
  • root (string) – Root directory of dataset where FashionMNIST/raw/train-images-idx3-ubyte and FashionMNIST/raw/t10k-images-idx3-ubyte exist.

  • train (bool, optional) – If True, creates dataset from train-images-idx3-ubyte, otherwise from t10k-images-idx3-ubyte.

  • download (bool, optional) – If True, downloads the dataset from the internet and puts it in root directory. If dataset is already downloaded, it is not downloaded again.

  • transform (callable, optional) – A function/transform that takes in an PIL image and returns a transformed version. E.g, transforms.RandomCrop

  • target_transform (callable, optional) – A function/transform that takes in the target and transforms it.

__init__(root, train=True, transform=None, target_transform=None, download=False)#

Methods

__init__(root[, train, transform, ...])

download()

Download the MNIST data if it doesn't exist already.

extra_repr()

rtype

str

Attributes

class_to_idx

rtype

Dict[str, int]

classes

mirrors

processed_folder

rtype

str

raw_folder

rtype

str

resources

test_data

test_file

test_labels

train_data

train_labels

training_file