Hey everyone,
Hopefully you found your way here from after the talk at Pytorch Auckland.
I thought this forum might a good place to discuss stuff, share resources and keep in touch.
You can sign up with the button in the top right if you want to comment.
jeremy’s great nn.module tutorial that I heavily ripped off
for the talk https://pytorch.org/tutorials/beginner/nn_tutorial.html
resources:
- notebook I used in the talk
- docker image setup that I use on local and my GPU
- https://course.fast.ai/
- http://cs231n.stanford.edu/
- http://web.stanford.edu/class/cs234/index.html
- https://paperswithcode.com/
- https://www.deeplearning.ai/deep-learning-specialization/
Next time:
What should we do?
maybe
- Implement a SOTA image classifier on known dataset? ( transfer learning etc )
- productionise a pytorch image classifier on AWS lambda?
- RNNs?
Thanks!
Patrick