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Too much boilerplate needs to be provided by the students. It would be better to have some of the boilerplate provided so that they concentrate on implementing the key details of the algorithm.
One idea is to do the following:
# code to complete the training loop should go here... (please change this line to fix the training loop).
General comments
Transformation of categorical data.
more visualisations
data exploration steps
understanding of data. Plot distribution of each of the variables. Statistical information of each variable.
For evaluation we could provide a correlation matrix
Look at CNN notebook. Currently it's MNIST. Could choose something more climate focussed?
The text was updated successfully, but these errors were encountered:
Implementing the boiler plate is quite an important part of the training, particularly since we sought to highlight important particulars of PyTorch, and not general concepts.
Fixes #60
Too much boilerplate needs to be provided by the students. It would be better to have some of the boilerplate provided so that they concentrate on implementing the key details of the algorithm.
One idea is to do the following:
General comments
Transformation of categorical data.
more visualisations
Look at CNN notebook. Currently it's MNIST. Could choose something more climate focussed?
The text was updated successfully, but these errors were encountered: