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                                            Ali Raza

Loading the dataset from the local path using tensorflow 2.0

1. Load local data from path ‘input_path’ use back ticks ''' 2. return '(x_train, y_train), (x_test, y_test)'

Private GPT

What's the issue? there is no description available to contribute

How to get path on datastore from input dataset instead of pathOnCompute(mount path)

you can use as_download or as_mount path = input_dataset.to_path(workspace, name='your_dataset_name_xyz') path = input_dataset.as_mount() mount_context.start() # Get the datastore path datastore_path = input_dataset.datastore.path('your_dataset_name').as_mount()

Trading model

to train your train model, you must have credible data sources. first try to train on open source data available from kaggle train on it see the accuracy of model....