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Once we have decided on the specifics of our model, we need to do two processes: Compile the model and fit the data to the model.
We can compile the model like so:
`model.compile(optimizer='sgd', l…
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A sophisticated alternative to human labor (#1) for syncing new and old episodes would be to use an automated algorithm executed weekly:
1. Download the podcast audio file.
2. Download the YouTube v…
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Once we have decided on the specifics of our model, we need to do two processes: Compile the model and fit the data to the model.
We can compile the model like so:
`model.compile(optimizer='sgd', l…
-
Once we have decided on the specifics of our model, we need to do two processes: Compile the model and fit the data to the model.
We can compile the model like so:
`model.compile(optimizer='sgd', l…
-
Once we have decided on the specifics of our model, we need to do two processes: Compile the model and fit the data to the model.
We can compile the model like so:
`model.compile(optimizer='sgd', l…
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Can keras support to update parameters after a relative large batch size which exceed the GPU memory if feeded in one time?
My model now can only be feeded batch_size=4 samples a time due to GPU 12G m…
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**Submitting author:** @shahmoradi (Amir Shahmoradi)
**Repository:** https://github.com/cdslaborg/paramonte
**Version:** v1.5.1
**Editor:** @VivianePons
**Reviewer:** @milancurcic, @williamfgc
**A…
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We need a solid foundation in form of a script that covers the inference of (material) properties from an inverse problem.
For starters, looking into the `DeepXDE` example problems is probably a go…
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https://mp.weixin.qq.com/s/0NbOjNKEN_sizlofclHA4w
ixxmu updated
2 years ago
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**Describe the bug**
We are facing issues with using `ofi+psm2` with GekkoFS when running multiple servers and clients (and client processes), stochastically producing the following error on some of …