pranftw OP t1_isi8ers wrote on October 16, 2022 at 4:36 AM Reply to comment by shawarma_bees in [P] neograd - A deep learning framework created from scratch using Python and NumPy by pranftw If people want to use and try it out, they will. My duty is to just code and make it easily available! Checkout the comment by bjourne on this link - https://news.ycombinator.com/item?id=33215834 bjourne 4 hours ago | unvote [–] Well done! The code is very clean and easy to read. I'll definitely recommend your library to people who want to learn how backprop works. Permalink Parent 3
pranftw OP t1_isg86pb wrote on October 15, 2022 at 7:14 PM Reply to comment by Pikalima in [P] neograd - A deep learning framework created from scratch using Python and NumPy by pranftw Thanks for sharing, will look into it! Permalink Parent 1
pranftw OP t1_isg84lk wrote on October 15, 2022 at 7:14 PM Reply to comment by ChebyshevsBeard in [P] neograd - A deep learning framework created from scratch using Python and NumPy by pranftw Oh, I wasn't aware of that. I just implemented the straightforward approach Permalink Parent 2
pranftw OP t1_isfahf5 wrote on October 15, 2022 at 3:15 PM Reply to comment by loukitkhemka in [P] neograd - A deep learning framework created from scratch using Python and NumPy by pranftw Thanks a lot! Rewarding and extremely painful because even a tiny mishap would break it entirely! Permalink Parent 3
[P] neograd - A deep learning framework created from scratch using Python and NumPy Submitted by pranftw t3_y4giax on October 15, 2022 at 6:26 AM in MachineLearning 10 comments 36
pranftw OP t1_isi8ers wrote
Reply to comment by shawarma_bees in [P] neograd - A deep learning framework created from scratch using Python and NumPy by pranftw
If people want to use and try it out, they will. My duty is to just code and make it easily available!
Checkout the comment by bjourne on this link - https://news.ycombinator.com/item?id=33215834
bjourne 4 hours ago | unvote [–]
Well done! The code is very clean and easy to read. I'll definitely recommend your library to people who want to learn how backprop works.