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Neural-Network
A simple neural network written in rust.
About
This implementation of a neural network using gradient-descent is completely written from ground up using rust. It is possible to specify the shape of the network, as well as the learning-rate of the network. Additionally, you can choose from one of many predefined datasets, for example the XOR- and CIRCLE Datasets, which represent the relative functions inside the union-square. As well as more complicated datasets like the RGB_DONUT, which represents a donut-like shape with a rainbow like color transition.
Below, you can see a training process, where the network is trying to learn the color-values of the RGB_DONUT dataset.
Example Training Process
Training-Progress
Learning Animation
Final Result
