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Compare architecture
- Linear VS LeNet (i.e. weight sharing).
Need to be same number of parameters I think to have a good comparison.
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ResNet VS LeNet VS AlexNet
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Base model : LeNet
Use this model to compare features I think ?
(Reasons: good perf, reasonable nb of param, easy to change) -
With/Without Batch Normalization
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With/Without Dropout
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Other things ?
Implement DropOut
Architecture:
- linear
- resnet
- lenet
- alexnet
Implement test.py for assignement
Implement Final Network
Done in Net.py
Implement Tanh
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forward
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backward
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param
Implement Auxiliary loss
Implement Module class
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forward
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backward
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param
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criterion
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zero_grad
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no_grad
ResNet
Find optimal parameters:
- nb_channels
- kernel_size
- nb_residual_blocks
Compare features:
- With/Without Batch Normalization
- With/Without Skip Connection
Implement Linear
-
forward
-
backward
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param
LeNet
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Implement dropout
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Implement batch normalization
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Other things ?
Implement Net
Implement Sequential
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forward
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backward
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param
Implement LossMSE
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forward
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backward
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param
Implement ReLU
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forward
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backward
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param
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