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Implement ResNet as (g, Ф, d) #2

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romech opened this issue Jan 7, 2021 · 2 comments · Fixed by #9
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Implement ResNet as (g, Ф, d) #2

romech opened this issue Jan 7, 2021 · 2 comments · Fixed by #9
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@romech
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romech commented Jan 7, 2021

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?

@romech romech added this to the Week 1-2 milestone Jan 7, 2021
@serwansj serwansj self-assigned this Jan 7, 2021
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serwansj commented Jan 7, 2021

@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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romech commented Jan 7, 2021

@serwansj yep, more is better

@romech romech linked a pull request Jan 13, 2021 that will close this issue
@romech romech changed the title Implement ResNet-20 as (g, Ф, d) Implement ResNet as (g, Ф, d) Jan 13, 2021
@romech romech closed this as completed in #9 Jan 13, 2021
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