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(Tagging #154 as this appears to be related.)
In **bspline.py**, _fix_topup_fieldcoeff assumes the fieldcoeff map output by FSL topup is padded by 3 voxels:
```
coeff_shape = np.array(coeff…
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Once we have decided on the specifics of our model, we need to do two processes: Compile the model and fit the data to the model.
We can compile the model like so:
`model.compile(optimizer='sgd', l…
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Attempting to do inference using the new inference support for gpt-neo models, I encountered multiple issues. I used the following code on Google Colab for testing:
Setup:
```
!pip install tran…
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Once we have decided on the specifics of our model, we need to do two processes: Compile the model and fit the data to the model.
We can compile the model like so:
`model.compile(optimizer='sgd', l…
-
Once we have decided on the specifics of our model, we need to do two processes: Compile the model and fit the data to the model.
We can compile the model like so:
`model.compile(optimizer='sgd', l…
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There is a subtle known bug in the evaluation code of the classification references (and other references as well, but not all):
https://github.com/pytorch/vision/blob/261cbf7e939a253ea316b74bec8db…
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## Problem
The [migration docs](https://rasa.com/docs/rasa/migration-guide/#rasa-17-to-rasa-18) imply that the following configuration in Rasa 2.x:
```
- name: "DIETClassifier"
epochs: 300
…
-
Once we have decided on the specifics of our model, we need to do two processes: Compile the model and fit the data to the model.
We can compile the model like so:
`model.compile(optimizer='sgd', l…
-
Once we have decided on the specifics of our model, we need to do two processes: Compile the model and fit the data to the model.
We can compile the model like so:
`model.compile(optimizer='sgd', l…
-
Once we have decided on the specifics of our model, we need to do two processes: Compile the model and fit the data to the model.
We can compile the model like so:
`model.compile(optimizer='sgd', l…