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In the paper they split models into modules: g (encoder), Ф(processing), and d (decoder). Section 5.1 describes it in details.
We can start by implementing ResNet-20 (alpha or beta). Later we can do the same with the other models (ResNet-NN, LeNet, AlexNet).
Anyone wants to pick this up?
The text was updated successfully, but these errors were encountered:
@romech This is the ResNet for the original DNN baseline right? I can also implement the other ResNet variants with more layers right away,
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@serwansj yep, more is better
serwansj
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In the paper they split models into modules: g (encoder), Ф(processing), and d (decoder). Section 5.1 describes it in details.
We can start by implementing ResNet-20 (alpha or beta). Later we can do the same with the other models (ResNet-NN, LeNet, AlexNet).
Anyone wants to pick this up?
The text was updated successfully, but these errors were encountered: