Performance drawbacks of Tensorflow Datasets

Tensorflow, the popular framework for machine-learning, recommends its new dataset API for preprocessing and serving data. It supports useful tricks, such as caching data in memory, prefetching in parallel threads and others described in tutorials. Still, Tensorflow has issues with slow data slicing, so the dataset API may actually do harm in setups where computations […]