Here we show how using generators allows to use large data sets that don't fit into computer memory for training. We focus on models with multiple input and output arrays, where the generator has to provide the data in form of dictionaries to the tf.dataset.
This data pipeline is used in the Donkey Car training. The notebook is simply extracting the pipeline mechanics to give a simplified view on the functionality.
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February 6, 2023 00:50
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A demo notebook for tensorflow datasets from generator
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