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The hidden cells are added in 01 to improve the flow. The notebook a little text-heavy. Address review comments and fix formatting - Fix a few more typos - Remove <details> tag in Dataset class markdown description. Add ellipsis - Rework the CrossEntropyLoss description as an alternative to BCELoss - Move the Resnet example up a few cells so it flows better with the network exercise - Remove hint for the iterate over features exercise - Remove comment about activation function not being in the network Make initial changes to move to CrossEntropyLoss Convert notebook 1 to work with CrossEntropyLoss Modified link and changed comment to CELoss Replace BCE with CrossEntropy in exercise Modify content on Softmax in Task 9. It's not necessary to use softmax in the notebook as it's already included in the PyTorch implementation. Add a bit more explanation about this in the notebook. Add note on excluding activation from model Inital fix to CrossEntropy in 03 Fix eye typos Add executed 03 Update Resnet50 name, add note in task 9 Pylance fixes and run 01 solution
This utilises the PenguinDataset defined within the notebook itself
This object approach is now an optional exercise
* Update README with Colab instructions. * Fix worked solutions colab links * Fix internal colab link. * Update readme following review by @MarionBWeinzierl.
* Update slides as used in NCAS. * Small typo fixes to slides.
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