Introduction to Neural Odes Making Deep Learning Continuous
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Neural Odes Making Deep Learning Continuous Comprehensive Overview
Neural Ordinary Differential Equations https://arxiv.org/abs/1806.07366 Abstract: We introduce a new family of by Srinivas Anumasa.
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Summary & Highlights for Neural Odes Making Deep Learning Continuous
- Setup of basic NeuralODE problem using torchdiffeq in pytorch. Some discussion on techniques to train NeuralODEs more ...
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- This won the best paper award at NeurIPS (the biggest AI conference of the year) out of over 4800 other research papers!
- In this AI Research Roundup episode, Alex discusses the paper: 'Global Convergence in
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