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Felix Yu

Felix Yu

Scaling TF Training to Large Amounts of Data Part 1: Dealing with Large Datasets

Scaling TF Training to Large Amounts of Data Part 1: Dealing with Large Datasets

Introduction At Reverie Labs, we focus on building state-of-the-art deep learning models to predict important molecular properties. One method we use in building such models is self-supervised pre-training, which we run over tens of millions of molecules. This requires overcoming two major hurdles: Working around peculiarities in how Tensorflow handles
Felix Yu Jul 7, 2022
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