Function Differences with tf.keras.datasets.mnist
tf.keras.datasets.mnist
class tf.keras.datasets.mnist()
For more information, see tf.keras.datasets.mnist.
mindspore.dataset.MnistDataset
class mindspore.dataset.MnistDataset(
dataset_dir,
usage=None,
num_samples=None,
num_parallel_workers=None,
shuffle=None,
sampler=None,
num_shards=None,
shard_id=None,
cache=None
)
For more information, see mindspore.dataset.MnistDataset.
Differences
TensorFlow: The MNIST dataset can be downloaded and loaded using the load_data
method inside this class.
MindSpore: Load the MNIST dataset file from the specified path and return the Dataset.
Code Example
# The following implements MnistDataset with MindSpore.
import mindspore.dataset as ds
mnist_dataset_dir = "/path/to/mnist_dataset_directory"
dataset = ds.MnistDataset(dataset_dir=mnist_dataset_dir)
# The following implements mnist with TensorFlow.
import tensorflow as tf
(x_train, y_train), (x_test, y_test) = tf.keras.datasets.mnist.load_data()