deep-learning-intro
deep-learning-intro copied to clipboard
carpentries-incubator
Learn Deep Learning with Python
outlook [refers to cifar-10](https://github.com/carpentries-incubator/deep-learning-intro/blob/main/episodes/6-outlook.Rmd#L97) in a way that I think should be swapped to dollarstreet
the change to the dollar street data also opens a really great opportunity to do bias evaluation and talk about the importance of having many dimensions of diversity in a...
[the index](https://github.com/carpentries-incubator/deep-learning-intro/blob/main/index.md?plain=1#L40) refers to the content as a workshop, but I think "lesson" is the more correct Carpentries term. the [later use of "workshop"](https://github.com/carpentries-incubator/deep-learning-intro/blob/main/index.md?plain=1#L44) I think is correct.
We can add a few more terms to the glossary, because we have to submit a PR to glosario I am keeping a list here that we can pick up...
Fixes #351 @reviewer: This is now in episode 4, I was thinking to maybe put it together with transfer learning in the new episode 5 (See #349). Episode 5 could...
I think we should set aside some time to expand some of the alternative text descriptions, particularly for data visualisations. When we do, [_Writing alt text for data vizualisation_](https://nightingaledvs.com/writing-alt-text-for-data-visualization/) provides...
Now that the lesson is stable we can remove the call(s) for beta pilot testers.
Look at https://github.com/carpentries-lab/reviews/issues/25, see if there are any minor comments that we missed and can still improve.
This is my first submission. I think it would nice to show a plot for the network structure for the visual learners out there, perhaps using the plot_model function. https://www.tensorflow.org/api_docs/python/tf/keras/utils/plot_model
Add explanation of hyperparamter tuning to episode 3 In this section: https://carpentries-incubator.github.io/deep-learning-intro/03-monitor-the-model/index.html#counteract-model-overfitting we are actually doing hyperparamter tuning (we are changing a hyperparameter). It is only a small extra step...