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Make cheatsheet (.md file) in the tutorial folder with all important concepts and functions and other jargon words. Sync this with the docstrings.
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Oral explanation in talk or during workshop:
Explain what deep learning tries to solve
why should researchers be interested in learning / using deep learning
they need classification
what …
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@dafnevk commented on [Thu Mar 02 2017](https://github.com/NLeSC/mcfly/issues/120)
Add an information box that explains what file should be uploaded and what the default location might be
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"Sorry Marty McFly we don't accept dates in the future..." I get this answer when giving valid dates in the past for a claim.
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@dafnevk commented on [Thu Mar 02 2017](https://github.com/NLeSC/mcfly/issues/113)
The README should contain instructions on how to open the tutorial/workshop notebook and how to check whether instal…
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The README should contain instructions on how to open the tutorial/workshop notebook and how to check whether installation and data download was successful.
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Clearly explain which file should be uploaded to the visualization
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Add questions in the tutorial notebook to assess the understanding of new concepts, after:
* generate models
* find_best_model
* visualization
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The complete tutorial notebook should be up to date and should be checked after all other tutorial issues are done.
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Let the tutorial notebook run for 10 models and provide the resulting json file somewhere.