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This may be of interest.
> Does the use of auto-differentiation yield reasonable updates to deep neural networks that represent neural ODEs? Through mathematical analysis and numerical evidence, we…
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Why not try using ``Class Variable`` here? Variables in ``__init__`` function will be created after initializing a class instance, while ``Class Variable`` could be used even before initialization an…
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Currently, the default learning rate for the `add_backpropagation_learning_pathway` function of `Composition` (learning_rate=0.05) is different than the default learning rate for `AutodiffComposition`…
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![xor_nn_1](https://user-images.githubusercontent.com/661959/54298177-9e82f080-45fb-11e9-8bdd-1f86718c6f5d.png)
![xor_nn_2](https://user-images.githubusercontent.com/661959/54298185-a347a480-45fb-1…
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### 🐛 Describe the bug
```
import torch
from torch.func import grad
def f_dict(d):
return torch.tensor([torch.square(v).sum() for v in d.values()]).sum()
d = {'a': torch.ones(4, requir…
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For a graph based library, the internal nodes should probably be written in a better language than Python.
As a result the performance isn't comparable to similar solutions in c++ when it could be.
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### Issue Description
`AssertionError: The SHAP explanations do not sum up to the model's output! This is either because of a rounding error or because an operator in your computation graph was not f…
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In NES algorithms do we use backpropogation from the last layers gradients(computed by the objectve function). I am curious as to how to optimize the hidden layers since they are not directly affectin…
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There is 2 / n multiplier for gradients in the Learn section, but 1/n in the solution
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hi,
there is an example of multi label classifier in synaptic?