训练集为 60000 张 28x28 像素灰度图像测试集为 10000 同规格图像总共 10 类数字标签 用法 from kerasdatasets import mnist x_train y_train x_test y_test mnistload_data 返回 2 个元组. For example the pipeline for an image model might aggregate data from files in a distributed file system apply random perturbations to each image and merge randomly selected images into a batch for training.
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The tfdata API enables you to build complex input pipelines from simple reusable pieces.
. You will need to authenticate this step by clicking on the. Only those files directly in path are included unless you pass recurse in which case all child folders are also searched recursivelyfolders is an optional list of directories to limit the search to. If you pass extensions including the then returned file names are filtered by that list.
Assuming you already have dataset in your google-drive you can run the following command in google colab notebook to mount google drive. This is the most general way to grab a bunch of file names from disk.
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