比较与tf.keras.datasets.fashion_mnist的功能差异
tf.keras.datasets.fashion_mnist
class tf.keras.datasets.fashion_mnist()
mindspore.dataset.FashionMnistDataset
class mindspore.dataset.FashionMnistDataset(
dataset_dir,
usage=None,
num_samples=None,
num_parallel_workers=None,
shuffle=None,
sampler=None,
num_shards=None,
shard_id=None,
cache=None
)
使用方式
TensorFlow:可使用类内的 load_data
方法下载并加载Fashion MNIST数据集。
MindSpore:从指定路径加载Fashion MNIST数据集文件,并返回数据集对象。
代码示例
# The following implements FashionMnistDataset with MindSpore.
import mindspore.dataset as ds
fashion_mnist_dataset_dir = "/path/to/fashion_mnist_dataset_directory"
dataset = ds.FashionMnistDataset(dataset_dir=fashion_mnist_dataset_dir)
# The following implements fashion_mnist with TensorFlow.
import tensorflow as tf
(x_train, y_train), (x_test, y_test) = tf.keras.datasets.fashion_mnist.load_data()