RAdam-Tensorflow
On the Variance of the Adaptive Learning Rate and Beyond
Paper | Official Pytorch code
Usage
from RAdam import RAdamOptimizer
train_op = RAdamOptimizer(learning_rate=0.001, beta1=0.9, beta2=0.999, weight_decay=0.0).minimize(loss)
Algorithm
Result
Author
1 maintainer
Metadata
1 maintainer
Release files for tf-1.x-rectified-adam 0.0.2
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Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| tf_1.x_rectified_adam-0.0.2-py3-none-any.whl | Python 3 | none | any | Details |
Release files / tf_1.x_rectified_adam-0.0.2-py3-none-any.whl
| Download URL | tf_1.x_rectified_adam-0.0.2-py3-none-any.whl |
|---|---|
| Size | 4.4 kB |
| Tags | Python 3 |
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