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Code for paper Weight Expansion: A New Perspective on Dropout and Generalization

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Code for paper Weight Expansion: A New Perspective on Dropout and Generalization

version:
python 3.7
tensorflow 1.13.1-gpu
keras 2.2.4

We define Noise_Layer(noise_a) in core.py line: 139 - 176
Add Noise_Layer in /LOCAL/usr/anaconda3/lib/python3.7/site-packages/keras/layers/core.py

We define Noise_Layer(noise_a) in tensorflow_backend.py line: 3447 - 3466
Add Noise_Layer in /LOCAL/usr/anaconda3/lib/python3.7/site-packages/keras/backend/tensorflow_backend.py

We define Noise_Layer(noise_a) in nn_ops.py line: 3060 - 3148
Add Noise_Layer in /LOCAL/usr/anaconda3/lib/python3.7/site-packages/tensorflow/python/ops/nn_ops.py

We define SGD_test(noise_h) in optimizers.py line: 214 - 352
Add SGD_test in /LOCAL/usr/anaconda3/lib/python3.7/site-packages/keras/optimizers.py

Experiment_5.1:

          training scripts and results are saved in Experiment_5.1/table1_CIFAR10

Experiment_5.2:

          training scripts and results are saved in Experiment_5.2/VGG_CIFAR10

Experiment_5.3:

          training scripts and results are saved in Experiment_5.3/AlexNet_ImageNet32 or VGG16_imagenet32

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Code for paper Weight Expansion: A New Perspective on Dropout and Generalization

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