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Use of [continual backpropagation](https://www.nature.com/articles/s41586-024-07711-7) networks to maintain plasticity of neural networks
This is done by:
1. Maintaining a contribution utility metri…
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Hi ! Thanks for your great efforts. It helped me a lot to understand very basic concepts.
It would be great if you could add more explanation to the back-propagation and training a simple neural net…
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Run and test the libraries for neat, and think about adding backpropagation to it
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Just wondering if you had any plans to implement cross_entropy_loss or backpropagation for training.
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### Deep Learning Simplified Repository (Proposing new issue)
:red_circle: **Project Title** : Backpropagation in Neural Networks
:red_circle: **Aim** : Backpropagation is a fundamental algorithm u…
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I want to use `mkpts_0, mkpts_1 = xfeat.match_xfeat(im1, im2, top_k = 4096)` to **optimize** different targets based on the distance between matches.
However, even if I remove the inference stuff, th…
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## Description and motivation
I'm trying to make inference with different timesteps on a neural network that's trained with Feedback Alignment from biotorch, however it is showing the same accuracy…
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Support for multi-layer perceptrons via backpropagation.
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Hi!
I have been studying your TensorFlow implementation of NEC for a while now. There is a part in your code which I do not fully understand. (Probably in the paper as well.)
The original paper …
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A way to visualize step by step the parameter adjustment process with backpropagation would be great!!