I’m putting together a notebook that hopefully explains Convolutional Layer with a Twist for everyone. For those who have never heard about it, I recently used it on ResNet for the Imagenette/Imagewoof challenge, and it appears to be working pretty well (with some surprises). As it can replace any 3x3 convolutional layer in your model, I’d very much like to see it applied to other kinds of CNN models (detection, GANs, etc.) and datasets.
I’m trying to use fastai’s
fastpages to “publish” it, and it’s still a draft. For one thing, I couldn’t find instruction for writing LaTeX which it promised to support. [Update: I was dumb… simply using $ signs in markdown works.] (Jupyter notebook, LaTeX, and a public comment section is a killer combination, from my view.)
I’d also like to ask for suggestion of a notebook that has code that takes an image, turns it to a PyTorch tensor, passes through a neural net, and “plots” the outcome (or a feature map) as an image. That would help me a lot. Thanks in advance!