lookahead implemented in Keras
Project description
Keras Lookahead
Unofficial implementation of the lookahead mechanism for optimizers.
Install
pip install keras-lookahead
Usage
Arguments:
optimizer: Original optimizer.sync_period: thekin the paper. The synchronization period.slow_step: theαin the paper. The step size of slow weights.
from keras_lookahead import Lookahead
optimizer = Lookahead('adam', sync_period=5, slow_step=0.5)
Custom optimizers can also be used:
from keras_radam import RAdam
from keras_lookahead import Lookahead
optimizer = Lookahead(RAdam())
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
keras-lookahead-0.2.0.tar.gz
(4.1 kB
view details)
File details
Details for the file keras-lookahead-0.2.0.tar.gz.
File metadata
- Download URL: keras-lookahead-0.2.0.tar.gz
- Upload date:
- Size: 4.1 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/1.13.0 pkginfo/1.5.0.1 requests/2.22.0 setuptools/41.0.1 requests-toolbelt/0.9.1 tqdm/4.32.1 CPython/3.7.3
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | 39b2e51090ba681509ce9161507fc569dd34144704712cfbfc6d00ba20fc9aba |
|
| MD5 | 849dca02bc9dd0164b7e15919a8ddeb8 |
|
| BLAKE2b-256 | 6e46d89bdb7201b1534ae54fb9582c06a0c04820b9ba4f93b7e68f29a37eac1f |
