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Hi,
Are there any implementations where the scaled conjugate gradient (: SCG) method is used to optimize the model's hyperparameters, instead of LBFGS or the stochastic gradient descent?
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On known task,so far so good
![Pasted Graphic](https://github.com/user-attachments/assets/38fe65a6-ad6d-4053-8974-942201c98a1b)
But comes to unknown ...... a disaster
Hope you help me out ~
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22 Nov. 2017. Has completed the first draft. I've tested the current hyperparameters on only Nick dataset which is 8 hours long, but not on LJ which is 24 hours long. The results were not good, not te…
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# 🚀 Feature Request
Currently input transforms can be parametric and the parameters can be optimized jointly with the other hyperparameters of the GP (e.g. input warping does). Outcome transforms o…
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Hi, I trained the model using the given model script and the hyperparameters for IFRnet(base model) on 8xV100 and 4xV100s. I am getting a PSNR of around 34.5 on the 8GPUs trained model and 35 on the 4…
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I have this problem quite often, where I'm computing a subset of SOAP vectors for who species ABCD are present, then another subset where only ABD are present. I know that I can use the species pair d…
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Do you have hyperparameters for bigger batchSize, like 256 and 512?
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hi all, can you give a list of recommended parameters? I want to know how to set the hyperparameters for this project.
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I just think that is little weird to introduce manually (or interactively) the number of layers and other hyperparameters.
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Now that we are done with organising resuts and plots by varying different hyperparameters and layers. How to proceed in the direction of doing ANOVA.?