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This issue is a place for you to share any coding problems you're encountering. It could be a bug in the notebooks or a code chunk you just don’t understand...
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The text was updated successfully, but these errors were encountered:
Boston dataset is no longer available with the current scikit-learn version, but can be loaded in manually
Question: In the tutorial, why are the keras and pytorch deep NNs (=<.7; not the experimental poisson & adagrad examples) performing worse on accuracy than the shallow NNs (>.9)? I’ve rerun my code a couple of times and the pattern stays.
In the section on LayerConductance for interpretability, I am a bit unclear why we apply the function on the sigmoid layer instead of the hidden layer. What is the intuition here?
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Hi students!
This issue is a place for you to share any coding problems you're encountering. It could be a bug in the notebooks or a code chunk you just don’t understand...
Please provide:
Feel free to respond to each other's comments to help out! Let's collaborate and solve problems together ✊
The text was updated successfully, but these errors were encountered: