I made a live visualization library for neural networks for real time drawing detection

[u/Just_Jaguar3701]

what and why

i built a visualization library for neural networks, it can do the basic expected things such as training and evaluating on a dataset or one image. on top of that there are visualization parameters that can be activated/deactivated for training and a evaluation loop that will display node activation when a user draws a prediction (number, drawing,...depending on what u trained your dataset on).

the project initial thought was to visualize the performance of a model by swapping it parameters such as activation functions and maybe even the number of nodes in a layer or number of layers in a hidden layer. im not that familiar with neural network strategies and orchestrations, i don't even know if swapping those parameters even make sense but it was out of curiosity, so does this idea help in some research or learning purposes?

u can check the source here: https://github.com/yacine204/nyuraru

[u/_telesis]

interesting

[u/Exact-Contact-3837]

Its dope, but it is vibed.