Understanding Differentiable Programming With Julia By Mike Innes
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Key Takeaways about Differentiable Programming With Julia By Mike Innes
- Julia
- Dimitri spittoon it is and Simon Peter Jones on
- Filmed at PyData London 2017 Description
- This talk was presented as part of JuliaCon 2021. Abstract: Deep learning has grown steadily and there has been rising interest ...
- In Fall 2020 and Spring 2021, this was MIT's 18.337J/6.338J: Parallel Computing and Scientific Machine Learning course.
Detailed Analysis of Differentiable Programming With Julia By Mike Innes
Presenter: Gordon Plotkin Presented at POPL'2020. Scientific computing is increasingly incorporating the advancements in machine learning and the ability to work with large ... In this insightful talk, Valentin Churavy (University of Augsburg) explores
Boeing Distinguished Colloquium, November 21, 2019 Alan Edelman Massachusetts Institute of Technology Title:
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