Sven van der Burg
Sven van der Burg
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...
After #264 is done we should submit the lesson to Carpentries Lab.
To give more intuition of how deep neural networks work, we could include in the introduction that you can view neural networks as learning increasingly abstract representations of the input...
The picture of the confusion matrix in episode 2 does not have the 'predicted label' and 'true label' labels: https://carpentries-incubator.github.io/deep-learning-intro/2-keras.html#confusion-matrix, whereas the commands in the material actually create these labels.
See https://github.com/carpentries-incubator/deep-learning-intro/pull/277#discussion_r1036856278
## Rationale Quickly show that using a GPU for training a network is both easy and speeds up training significantly. ## Learning objectives * Use a GPU when training a...
@anenadic, @bielsnohr, @steve-crouch We (me and some colleagues from the Netherlands eScience Center) are planning to add some improvements to this lesson in a lesson development sprint day at the...
### As a fast learner I want to have optional exercises/assignments at the end of each section. When teaching this lesson in person (#159), we notice that some participants already...
Hey, We recently taught a workshop using this material see https://github.com/carpentries-incubator/python-intermediate-development/issues/159 . We organized an additional morning on continuous integration/continuous deployment. We added the section to the material in our...
At the [Netherlands eScience Center](https://www.esciencecenter.nl/) we have taught quite a similar machine learning lesson a few times now. The material that we use works quite well so we are progressing...