neural-fortran
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modern-fortran
A parallel framework for deep learning
After attempting to develop test_network_sync.f90 into a test that reports passing or failure and seeking some advice Tom Clune, who develops the pFUnit testing framework, I'm not confident there's a...
After unzipping `data/mnist/mnist.tar.gz`, checking out the main branch, and building with the above compiler, running the tests yields the error below even though doing the same with `gfortran` 10.2.0 avoids...
Implement the reader for Keras's new default model output format.
I'm using this package in a very performance-critical setting. I managed to make the inference quite a bit faster by making some changes (some of these are custom to my...
It's just a matter of adding appropriate compiler flag in CMakeLists.txt.
Add other cost functions beyond Mean Squared Error. Could be implemented in the same way as activation function selector, for example: ```fortran net = network_type([3, 5, 2], activation='sigmoid', cost='cross-entropy') ```
How to parallelize `matmul` beyond OpenMP directives in MKL?
I'm trying to compile on Windows 10 and running into an issue with HDF and was wondering if somebody can help. - I've download the neural-fortran code via git, created...
