taki0112/AdaBound-Tensorflow taki0112/AdaBound-Tensorflow

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  • License
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  • Created over 5 years ago
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taki0112/AdaBound-Tensorflow
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Simple Tensorflow implementation of "Adaptive Gradient Methods with Dynamic Bound of Learning Rate" (ICLR 2019)

AdaBound-Tensorflow

Simple Tensorflow implementation of "Adaptive Gradient Methods with Dynamic Bound of Learning Rate" (ICLR 2019)

Hyperparameter

  • learning_rate = 0.01
  • final_lr = 0.1
  • beta1 = 0.9
  • beta2 = 0.999

Usage

  from AdaBound import AdaBoundOptimizer
  
  train_op = AdaBoundOptimizer(learning_rate=0.01, final_lr=0.1, beta1=0.9, beta2=0.999, amsbound=False).minimize(loss)

Network Architecture

  x = fully_connected(inputs=images, units=100)
  x = relu(x)
  logits = fully_connected(inputs=x, units=10)

Fashion-mnist Result

batch_size=32, lr=0.01, final_lr=0.1, beta1=0.9, beta2=0.99

ย 
Optimizer Best Test Acc
SGD 86.33%
Adam 85.81%
AMSGrad 87.28%
AdaBound 87.68%
AMSBound 87.76%

batch_size=32, lr=0.01, final_lr=0.1, beta1=0.9, beta2=0.999

ย 
Optimizer Best Test Acc
SGD 86.33%
Adam 86.14%
AMSGrad 86.63%
AdaBound 86.88%
AMSBound 87.25%

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Author

Junho Kim

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