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We should test our ABC pipeline by keeping aside a single simulation to use as "data" and doing ABC to see if we can infer its parameters back.
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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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I'm have some issues trying to ensemble a neural network with a random forest.
The example I am following is very much like this, but only one NN and one RF.
https://www.tensorflow.org/decision_f…
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### Feature details
Hi Pennylane developers! I'm opening this feature request to propose the implementation of the novel ***Quantum Dropout technique*** in Pennylane. This feature request is motivate…
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### Required prerequisites
- [X] I have read [this post from stackoverflow](https://stackoverflow.com/help/minimal-reproducible-example) on creating a minimal, reproducible example
- [X] I have searc…
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Even though my snn neural networks work on the simulator and nengo-loihi checks for axon overflow error before uploading the network to loihi, I still occasionally get the following error:
```
use…
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Appreciate this excellent work. I got a lot of inspiration from this work.
I have achieved to train an AI for a more difficult version flappy bird: the horizontal distance between adjacent pipes an…
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Here is the simplest example.
```python3
fc1 = BayesianLinear(1, 1)
print(list(fc1.parameters()))
pytorch_total_params = sum(p.numel() for p in fc1.parameters() if p.requires_grad)
```
The outpu…
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Hi! I've been using your package, and I've run into an issue with the DRL solvers.
The function `get_action` passes the state into the neural network `policy.μ`, but this state is computed in `conv…
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http://doi.org/10.1101/093021
> Artificial neural networks (ANN) are computing architectures with massively parallel interconnections of simple neurons and has been applied to biomedical fields suc…