There are several examples, getting data from cloud storage:
//data_dir = tf.keras.utils.get_file(
'flower_photos',
'https://storage.googleapis.com/download.tensorflow.org/example_images/flower_photos.tgz',
untar=True) //
instead of using the google apis, i wanted to use the location of the zip folder from the gdrive.
What are the various ways to write the code in such a situation?
I would check the arguments for get_file, they may not behave the way you think/be in the order that you think. I have found some information as to how to use the get_file function in TensorFlow, through searching online, so you may find more specific help by looking on StackOverflow. Certainly the TensorFlow documentation will be the most accurate resource, albeit not the most interactive.
Cyril Robinson Azariah J. Here is a complete solution design for a specific approach, but based on your request, it might be helpful to understand the whole logic from different perspectives: https://medium.com/@mrgarg.rajat/training-on-large-datasets-that-dont-fit-in-memory-in-keras-60a974785d71
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