I’ve also uploaded it and can be downloaded from here. It has worked for me so far, but I experienced that the model training took like 1.30 minutes where it worked for Howard in seconds. Feel free to review and correct it.
I’ve also created an AMI with this setup in Ohio region for further use. Ping me if anyone wants to use it, I’ll make it public.
So if I understand correctly, once this is installed on my machine ( Titan X) I can run all the code and examples locally without needing to setup the AWS or paperspace? Thanks.
Thanks for your answer. I have one last question: I thought this was the new version (v2) of the deep learning class but the notebooks seem to be different than the notebooks shown on the course videos. Is there something I misunderstood? thanks again.
The courses are cloned as is from the fastai github repo. You can see in the working dir /jet/prs/workspace the subdirectory ‘fastai’ - it’s the cloned repo. So V2 courses are located in the ‘fastai’ - the ‘courses’ subdirectory
Hi! Coming back after a while. The jetware machine worked perfectly for about 8 months but now It’s not able to acess the GPU anymore. ( torch.cuda.is_available() returns false while it used to return true before.) I wanted to remove the machine and reinstall it again but I can’t find how to do it on google =) Anyone has any idea? Also if there is a fix for the cuda problem without removing the environment I can use that as well. Thanks again.