load_fashion_mnist

tfsnippet.datasets.load_fashion_mnist(x_shape=(28, 28), x_dtype=<type 'numpy.float32'>, y_dtype=<type 'numpy.int32'>, normalize_x=False)

Load the Fashion MNIST dataset as NumPy arrays.

Homepage: https://github.com/zalandoresearch/fashion-mnist

Parameters:
  • x_shape – Reshape each digit into this shape. Default (784,).
  • x_dtype – Cast each digit into this data type. Default np.float32.
  • y_dtype – Cast each label into this data type. Default np.int32.
  • normalize_x (bool) – Whether or not to normalize x into [0, 1], by dividing each pixel value with 255.? (default False)
Returns:

The

(train_x, train_y), (test_x, test_y)
Return type:

(np.ndarray, np.ndarray), (np.ndarray, np.ndarray)