I like seeing Bad Apple in Godot. Can you please explain the role of the neural network and how it works?
Also the "The" of your sentence got merged with the repo link
this post was submitted on 16 Jan 2024
36 points (97.4% liked)
Godot
5885 readers
36 users here now
Welcome to the programming.dev Godot community!
This is a place where you can discuss about anything relating to the Godot game engine. Feel free to ask questions, post tutorials, show off your godot game, etc.
Make sure to follow the Godot CoC while chatting
We have a matrix room that can be used for chatting with other members of the community here
Links
Other Communities
- !inat@programming.dev
- !play_my_game@programming.dev
- !destroy_my_game@programming.dev
- !voxel_dev@programming.dev
- !roguelikedev@programming.dev
- !game_design@programming.dev
- !gamedev@programming.dev
Rules
- Posts need to be in english
- Posts with explicit content must be tagged with nsfw
- We do not condone harassment inside the community as well as trolling or equivalent behaviour
- Do not post illegal materials or post things encouraging actions such as pirating games
We have a four strike system in this community where you get warned the first time you break a rule, then given a week ban, then given a year ban, then a permanent ban. Certain actions may bypass this and go straight to permanent ban if severe enough and done with malicious intent
Wormhole
Credits
- The icon is a modified version of the official godot engine logo (changing the colors to a gradient and black background)
- The banner is from Godot Design
founded 1 year ago
MODERATORS
Sure, the role of neural network used in this project is recognizing hand written digits. The input is a 81x81 2D grid. There are a few fully-connected layers trying classify all these input pixels into 10 possible outputs and assign each output with a probability. The outputs are the 10 digits in our number system.
This model is trained using pytorch, a machine learning framework, and exported to onnx. The onnx file then gets used by a backend server written in python that will communicate with godot.
The math behind how fully-connected layers work is a little complicated. If you want to get into the details of how exactly machine "learns" you should go watch some youtube tutorials about back-propagation and statistic modeling.
The tricky part here is embedding an entire video (bad apple in this case) into the weights of the fully-connected layers. Training the model with custom-set limitations was really hard. This model's accuracy at guessing a human's handwriting correctly is only about 60% based on the augmented dataset that it was tested on.
I think it's lemmy's parsing issue that the "The" word and the repo link got merged