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Efficient Reachability Analysis of Closed-Loop Systems with Neural Network Controllers. (arXiv:2101.01815v1 [eess.SY])
https://ift.tt/3bkcTRN
Neural Networks (NNs) can provide major empirical performa…
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Published version: http://advances.sciencemag.org/content/4/7/eaap7885
Pre-print: https://arxiv.org/abs/1711.10907
> We propose a novel computational strategy based on deep and reinforcement learn…
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This is very similar with tensor-merge.
This is supposed to do video-composite with tensor streams (that can be decoded into ```video/x-raw``` with ```tednsor-decoder::directvideo```) and video posit…
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Minor thing, but this was playing around with the two sets of introductory code:
1) https://github.com/SciML/NeuralPDE.jl/blob/master/README.md#example-solving-2d-poisson-equation-via-physics-info…
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## Welcom
Hello and welcome.
As you probably know, deep learning has already transformed traditional internet businesses like web search and advertising.
딥러닝은 이미 웹검색 및 광고와 같은 전통적인 인터넷 비즈니스를 변화 …
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UMAP's ability to embed out-of-sample data points has allowed us to create a fairly simple Dask wrapper for distributed inference, by embedding a subset of the training data on a single GPU and then b…
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Post and upvote questions related to the next available chapter on optimization, initialization, regularization and model architectures for week 4/5 posted [here](https://docs.google.com/document/d/1g…
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So, the code seems to optimize potenital by deep learning, how can we use the property of implicit regularization of mirror descent in it, i.e. argminD_\fai(w,w_0)
XX824 updated
2 weeks ago
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Dear Edward,
From page 21 to page 23, when we are talking about auto grad,
we choose to test conditon ||prev - cur || < epsilon satisfies or not to check whether we have got the minimun
my …
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