I managed to run lesson1.ipynb on my laptop with NVIDIA GeForce 840M GPU with Windows 10 following your instructions. But the PyTorch version which got installed conda env update did not support my GPU. I got this error message:
“Found GPU0 GeForce 840M which is of cuda capability 5.0. PyTorch no longer supports this GPU because it is too old.”
After scavenging the forums, I followed the instructions listed on this thread:
Finally, everything worked. But when I monitored CPU and GPU performance on Task Manager while learning, the learner’s GPU utilisation was around 2.5-3 percent whereas the CPU utilisation was much higher around 50 percent (in certain stages).
I wonder if this is normal. Thanks. In any case, being able to do deep learning on my own laptop feels nice.