drandula
Member
Simple Multi-Layer Perceptron in GML
Fully-connected multilayer neural network scripts with backpropagation for GameMaker Studio 2.3.
Download links:
YYG Marketplace
Itchio
GitHub
This asset is simplified version of my MLP scripts, which I have been writing. Later they will be published too as separate asset.
Asset includes three different MLP versions:
Array is easier to read and you can introduce yourself how MLP works. Grid-based MLP calculates faster than Array, but needs to be explicitly destroyed and it is harder to read.
Included learning methods:
As these are just simplified versions of original scripts, I have not throughly tested these, and I don't quarantee working.
Also this asset does not include examples of original scripts.
Fully-connected multilayer neural network scripts with backpropagation for GameMaker Studio 2.3.
Download links:
YYG Marketplace
Itchio
GitHub
This asset is simplified version of my MLP scripts, which I have been writing. Later they will be published too as separate asset.
Asset includes three different MLP versions:
- Array
- Grid
- Mini
Array is easier to read and you can introduce yourself how MLP works. Grid-based MLP calculates faster than Array, but needs to be explicitly destroyed and it is harder to read.
Included learning methods:
- Stochastic Gradient Descent.
- SGD is supervised learning algorithm, which uses backpropagation.
- Supports using minibatches.
- Mean Squared Error is only cost function included in this asset.
- Genetic Algorithm.
- Genetic Algorithm here is just one simple way of implementing it. Steps are 1) Selection, 2) Offsprings, 3) Mutations.
As these are just simplified versions of original scripts, I have not throughly tested these, and I don't quarantee working.
Also this asset does not include examples of original scripts.
Last edited: