Is Multitask Deep Learning Practical for Pharma?
Volume: 57, Issue: 8, Pages: 2068 - 2076
Published: Aug 1, 2017
Abstract
Multitask deep learning has emerged as a powerful tool for computational drug discovery. However, despite a number of preliminary studies, multitask deep networks have yet to be widely deployed in the pharmaceutical and biotech industries. This lack of acceptance stems from both software difficulties and lack of understanding of the robustness of multitask deep networks. Our work aims to resolve both of these barriers to adoption. We introduce a...
Paper Details
Title
Is Multitask Deep Learning Practical for Pharma?
Published Date
Aug 1, 2017
Volume
57
Issue
8
Pages
2068 - 2076
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