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I have a log likelihood function with 3 parameters that I have defined, it is nonlinear with respect to its 3 fitting parameters.
Is there a function in Optim that can take in the function, and som…
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The following peer review was solicited as part of the Distill review process. Some points in this review were clarified by an editor after consulting the reviewer.
**The reviewer chose to keep kee…
colah updated
4 years ago
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Can one use the quasi-Newton approximation & updating for the Hessian for trust-region methods too? This would allow usage of this method without calculating the Hessian.
tpapp updated
4 years ago
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Moving this discussion here from #29. We currently have a consistent way of treating complex numbers that's useful in the case of real-valued output (for gradient descent) but not always aligned with …
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It seems to me that the (u, i, j) triplets are not being sampled uniformly. [This line](https://github.com/benfred/implicit/blob/af2476f14da0d8b74656832117d7ecea3c8cafee/implicit/bpr.pyx#L257) selects…
artli updated
5 years ago
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Hi, Thanks for your work! It's very nice!
I used your approach to estimate foreground and background.
But I find the time it costs is big. So I want to put it to GPU by Cupy or pytorch.
And then…
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https://github.com/pannous/tensorflow-ocr
[Developing a Standard OCR Pipeline The utilization of Pc Imaginative and prescient and Deep Discovering out](http://a1a.in/developing-a-standard-ocr-pipel…
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我发现这篇文章：https://blogs.dropbox.com/tech/2016/08/fast-document-rectification-and-enhancement/#disqus_thread
但是不知道怎么求解Poisson’s equation 用conjugate gradient descent。
网上搜索了大量资料，没有一个类似的demo。
请问你知道么？
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It would be useful if you could write down basic information about:
-Optimalization Algorithms
-Loss Functions
-Updaters
-Unit types
That are implemented in dl4j. I know you could find them in papers,…
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Are there any optimizers that anyone would like to see implemented? In particular optimizers for differentiable functions.
@zoq any ideas or requests? @rcurtin has suggested Nesterov's Accelerated Gr…