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Initiate building custom neural network, time it, test the accuracy
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It would be great to support some basic CNNs. In a manner that is just as easy to install and use as the tree-based-ensembles that we have now. That means that there should be a core module that suppo…
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I propose adding the implementation of Neural Networks from scratch, using Numpy and Pandas. Focussing on how the model architecture trains on input data and self-improves based on the error rate.
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Greetings Patrick,
I was wondering, what are your thoughts when it comes to Graph Neural Networks? Would a GNNlayer be implemented as a module for Equinox or an advanced example for the documentati…
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I'm a student and I am highly interested in your neural network model.
I'm currently interested in validating the performance of your neural network model. However, training the model from scratch t…
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From base 2 or 4, be able to create distinct neural networks. Not all combinations may work.
Must study "NeuroEvolution of Augmenting Topologies" (NEAT) or successors.
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I have opened a GraphKan (https://github.com/WillHua127/GraphKAN), a Graph Neural Network version of Kolmogorov Arnold Networks (GraphKAN). Feel free to discuss and explore!!!
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### Reason/inspiration (optional)
"We would like a new term entry in the `AI` concept for [neural-network](https://www.codecademy.com/resources/docs/ai/neural-networks): RMSprop. The entry should go …
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Look for proper neural network architecture!