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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
Training Transformers for Practical Drug Discovery with Tensor2Tensor

Training Transformers for Practical Drug Discovery with Tensor2Tensor

We're releasing a Colab notebook for training Transformer networks on a wide range of drug discovery tasks using Tensor2Tensor.
Gabe Grand Apr 20, 2020
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