| commit | e9c5ec2787e3dbba0cc13aed554025e4c1c4edf1 | [log] [tgz] |
|---|---|---|
| author | sandip <sandip.aero@gmail.com> | Thu Mar 24 13:01:58 2022 -0700 |
| committer | TensorFlower Gardener <gardener@tensorflow.org> | Thu Mar 24 13:14:01 2022 -0700 |
| tree | 184b5fac05c72bc5d59bf1aa2e94ebf5a15b3ae7 | |
| parent | b6ba258f4ec536d80c915a9000c4e0e7c5ef212c [diff] |
PR #16001: Add ResNet-RS to keras.applications Imported from GitHub PR https://github.com/keras-team/keras/pull/16001 **Description** This PR adds ResNet-RS model architecture to keras.applications. refer #15780 Revisiting ResNets: Improved Training and Scaling Strategies ResNet-RS models are updated versions of ResNet models - [Arxiv Link](https://arxiv.org/abs/2103.07579) The models were rewritten using Keras functional API, The model's weights are converted from [original repository](https://github.com/tensorflow/tpu/tree/acb331c8878ce5a4124d4d7687df5fe0fadcd43b/models/official/resnet/resnet_rs). **Motiviation** Adding ResNetRS models to keras.applications has been discussed on Tensorflow's github: #15780 It was mentioned that this family of models would be welcomed in keras.applications, hence this contribution. **Usage / Changes** The models could be used similarly to other models in keras.applications ``` from keras.applications import resnet_rs model = resnet_rs.ResNetRS50() ``` **Todos** Right now, weights are hosting on @sebastian-sz GitHub, need to move on keras-team gcs buckets. Copybara import of the project: -- c223693db91473c9a71c330d4e38a751d149f93c by spatil6 <sandip.aero@gmail.com>: KERAS application addition of Resnet-RS model -- a1ae8cb577675e49e2b2b4963a333ee04d467978 by spatil6 <sandip.aero@gmail.com>: KERAS application addition of Resnet-RS model, refactored code based on comments -- 9c24fc4057303172ad977cebd626da2b7adb63d4 by spatil6 <sandip.aero@gmail.com>: Add ResNet-RS to keras.applications - code refactor -- 2eba9003ea33054e42191a965dd45b426c0b39c3 by spatil6 <sandip.aero@gmail.com>: Add ResNet-RS to keras.applications - code refactor -- 780d5bc51777e1855b7df121d86f1547a30e9f54 by spatil6 <sandip.aero@gmail.com>: Add ResNet-RS to keras.applications - code refactor 2 -- c503d08b2ceac24e471a0739130093b66d3d0819 by spatil6 <sandip.aero@gmail.com>: Add ResNet-RS to keras.applications - code refactor 3 -- f4e09d4f07b3f7a5c5c5ce37793706500882e5fc by spatil6 <sandip.aero@gmail.com>: Add ResNet-RS to keras.applications - code refactor 4 -- 5fe8ba168dd9c0cb517cfa0df39aa447df30acbc by spatil6 <sandip.aero@gmail.com>: Add ResNet-RS to keras.applications - code refactor 5 -- ffc5551010d9966cd20f9b8db2d7aa61ef6192aa by spatil6 <sandip.aero@gmail.com>: Add ResNet-RS to keras.applications - code refactor 6 PiperOrigin-RevId: 437066591
Documentation |
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TensorFlow is an end-to-end open source platform for machine learning. It has a comprehensive, flexible ecosystem of tools, libraries, and community resources that lets researchers push the state-of-the-art in ML and developers easily build and deploy ML-powered applications.
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