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Hi all,
I have some problem when computing the vjp (with torch.autograd.grad) between the jacobian of a neural network w.r.t. its parameters and a random tensor. The neural network evaluates hessi…
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Execute the following queries in your arangoDB:
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When encoding neural network configurations for genetic algorithms or other evolutionary strategies, the choice of representation format plays a crucial role in the efficiency and effectiveness of the…
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**To those following this repository:**
We are in the process of performing a complete rewrite of Swift AI, which will include an update to Swift 3, full Linux support, many new features, and major…
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One of the goals of the project, after we get an model working enough, is to be able to feed into the model "random sequences" for the model to be able to predict function. This serves two purposes: 1…
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The following parameters were working fine with another dataset. When I switched to a new dataset, for some reason an `AttributeError` is occurring. Any ideas?
```python
model = MLPRegressor(hidde…
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# Domain Randomization & Adaptation on Robotics
- Difference of Domain Randomization & Adaptation
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Output of powershell after command python train_image.py --example_config golden_horse.yaml:
```
Traceback (most recent call last):
File "C:\Users\CodeSame\miniconda3\text2live\train_image.py", …