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Shashank Suhas
seminar-breakout
Commits
178f3611
Commit
178f3611
authored
Jul 05, 2016
by
Yuxin Wu
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fix image links
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1ddcf838
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examples/Atari2600/README.md
examples/Atari2600/README.md
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examples/DisturbLabel/README.md
examples/DisturbLabel/README.md
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examples/ResNet/README.md
examples/ResNet/README.md
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examples/Atari2600/README.md
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@@ -8,7 +8,7 @@ and Double-DQN in:
Can reproduce the claimed performance, on several games I've tested with.


A demo trained with Double-DQN on breakout is available at
[
youtube
](
https://youtu.be/o21mddZtE5Y
)
.
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examples/DisturbLabel/README.md
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@@ -7,7 +7,7 @@ As many, I didn't believe the method and the results at first.
This is a simple mnist training script with DisturbLabel. It uses the architecture in the paper and
hyperparameters in my original
[
mnist example
](
examples/mnist-convnet.py
)
. The results surprised me:


Experiements are repeated 15 times for p=0, 10 times for p=0.02 & 0.05, and 5 times for other values
of p. All experiements run for 100 epochs, with lr decay, which are enough for them to converge.
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examples/ResNet/README.md
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@@ -7,7 +7,7 @@ with the variants proposed in "Identity Mappings in Deep Residual Networks", [ht
The train error shown here is a moving average of the error rate of each batch in training.
The validation error here is computed on test set.


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