# MNIST digits classification dataset

`load_data`

function

```
tf.keras.datasets.mnist.load_data(path="mnist.npz")
```

Loads the MNIST dataset.

This is a dataset of 60,000 28x28 grayscale images of the 10 digits,
along with a test set of 10,000 images.
More info can be found at the
MNIST homepage.

**Arguments**

**path**: path where to cache the dataset locally
(relative to `~/.keras/datasets`

).

**Returns**

**Tuple of Numpy arrays**: `(x_train, y_train), (x_test, y_test)`

.
**
****x_train, x_test**: uint8 arrays of grayscale image data with shapes
(num_samples, 28, 28).
**
****y_train, y_test**: uint8 arrays of digit labels (integers in range 0-9)
with shapes (num_samples,).

License:
Yann LeCun and Corinna Cortes hold the copyright of MNIST dataset,
which is a derivative work from original NIST datasets.
MNIST dataset is made available under the terms of the
Creative Commons Attribution-Share Alike 3.0 license.