You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
Thanks for this, especially the sample code. I'm new here and this has been a great introduction to EEG and deep neural networks.
Does this code tap on the GPU, e.g. via CUDA/cuDNNs? I have a mid-range Nvidia GPU on my laptop, and when running previous deep learning programmes using PyTorch on a Jupyter Notebook, I have been able to successfully speed up training times by about 5 times using CUDA.
It doesn't seem like this code does, but I'd just like to check with you because I don't have much experience! Thanks.
Best regards,
Michelle
The text was updated successfully, but these errors were encountered:
I've figured it out. If we set up Theano=1.0 (not 0.8.2) and CUDA drivers etc according to the Theano documentation, i.e. differently from what's indicated in the README, GPU acceleration is automatic!
Hi!
Thanks for this, especially the sample code. I'm new here and this has been a great introduction to EEG and deep neural networks.
Does this code tap on the GPU, e.g. via CUDA/cuDNNs? I have a mid-range Nvidia GPU on my laptop, and when running previous deep learning programmes using PyTorch on a Jupyter Notebook, I have been able to successfully speed up training times by about 5 times using CUDA.
It doesn't seem like this code does, but I'd just like to check with you because I don't have much experience! Thanks.
Best regards,
Michelle
The text was updated successfully, but these errors were encountered: