Day 2 of coding a neural network from scratch (no dependencies):
I got a very basic slow training implementation working.
The model in the images are a model that tries to guess whether an input number is bigger or less than 100
The model uses a sigmoid activation function.
The description the texts are in the top of the images.
The outputs in the images are rounded to 2 decimal points for viewing experience.
My goal for tomorrow: Make training faster.
Day 1 of coding a neural network from scratch (no libraries):
I got a basic network implementation working, i forcefully set biases and weights.
The network returns input * 10 right now, I'm going to hopefully get training working soon.
Today I made a web UI for my project and shipped it! <https://betterclient.github.io/z--/|demo >
almost done with the compiler, rewrote the code compiler (still not finished)
Worked on rewriting statement handler
I made basic code parsing (will probably recode this tomorrow)
