Commit 178f3611 authored by Yuxin Wu's avatar Yuxin Wu

fix image links

parent 1ddcf838
...@@ -8,7 +8,7 @@ and Double-DQN in: ...@@ -8,7 +8,7 @@ and Double-DQN in:
Can reproduce the claimed performance, on several games I've tested with. Can reproduce the claimed performance, on several games I've tested with.
![DQN](examples/Atari2600/DoubleDQN-breakout.png) ![DQN](DoubleDQN-breakout.png)
A demo trained with Double-DQN on breakout is available at [youtube](https://youtu.be/o21mddZtE5Y). A demo trained with Double-DQN on breakout is available at [youtube](https://youtu.be/o21mddZtE5Y).
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...@@ -7,7 +7,7 @@ As many, I didn't believe the method and the results at first. ...@@ -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 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: hyperparameters in my original [mnist example](examples/mnist-convnet.py). The results surprised me:
![mnist](examples/DisturbLabel/mnist.png) ![mnist](mnist.png)
Experiements are repeated 15 times for p=0, 10 times for p=0.02 & 0.05, and 5 times for other values 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. of p. All experiements run for 100 epochs, with lr decay, which are enough for them to converge.
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...@@ -7,7 +7,7 @@ with the variants proposed in "Identity Mappings in Deep Residual Networks", [ht ...@@ -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 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. The validation error here is computed on test set.
![cifar10](examples/ResNet/cifar10-resnet.png) ![cifar10](cifar10-resnet.png)
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-Download model: -Download model:
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