What papers or textbooks do i need to read to have all the basics / background knowledge to use pytorch and understand what I am doing based on solely the documentation pytorch provides?
What papers or textbooks do i need to read to have all the basics / background knowledge to use pytorch and understand what I am doing based on solely the documentation pytorch provides?
thank you yeah, I found the conv2d and reLu on pytorch’s home page i am struggling with the arguments that conv2d accepts and i just realized i need to refresh linear algebra first.
Learning about hermitians and transposed and inverted matrices, tbh i remembered how to multiply and about the determinant and all that but there is a lot that i forgot. So i am digging through the matrix cookbook currently also reading a book on deep learning in parallel.
I am trying to find a way to get a hold and read this paper: Krizhevsky, A., Sutskever, I. & Hinton, G. ImageNet classification with deep convolutional neural networks. In Proc. Advances in Neural Information Processing Systems 25 1090-1098 (2012)
but have failed so far…
Paper:
https://sci-hub.se/https://doi.org/10.1145/3065386