Larq-zoo

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0.4.2

:tada: Features
- Add DoReFa-net (75)

:bug: Bugs
- Correctly pass top argument to `decode_predictions` (73)

👷‍♀ Internal Improvements
- [ImgBot] Optimize images (74)

dorefanet-v0.1.0
Pretrained weights for DoReFa-Net with 1 bit weights and 2 bit activations

0.4.1

🐛 Bugs
- Bi-Real Net: Fix layer bug and point to updated pretrained weights (69, 72)

👷 Internal Improvements
- ⬆️ `zookeeper0.5.3` (70)
- ⬆️ `larq0.7.1` (71)

birealnet-v0.3.0
Pretrained weights for corrected Bi-Real net architecture (the previous version contained one additional layer by accident)

0.4.0

🎉 Features
- Made compatible with Zookeeper >= 0.5 (62)
- Add `ReseNetE18` and `BinaryDenseNet{28,37,45}` (60)
- Add `BinaryDenseNet37Dilated` (66)

:bug: Bugs
- Update weight-download url to point to correct repo. (63, 64)

📖 Documentation
- Use ImageNet dataset version 5.0.0 (53)
- Remove irrelevant docstrings (58)
- Cleanup docs build (67)


👷 Internal Improvements
- Bump scipy from 1.3.0 to 1.3.1 (56)

binary_densenet-v0.1.0
Pretrained weights for BinaryDenseNet

resnet_e-v0.1.0
Pretrained weights for ResNetE18

0.3.0

🎉 Features
- Use improved preprocessing for pretrained models (52):
- All models are retrained from scratch and now exceed the accuracies claimed by the respective papers: https://larq.dev/models/#available-models
- All models include plots of the training process in the docs: https://larq.dev/models/api/

📖 Documentation
- Add missing `numpy` import (51)

xnornet-v0.2.0
Pretrained weights for XNOR-Net

birealnet-v0.2.0
Pretrained weights for Bi-Real Net

binary_alexnet-v0.2.0
Pretrained weights for Binary Alexnet

0.2.1

🐛 Bugs
- Update training epochs for Bi-Real Net (49)

📖 Documentation
- Move Available Models section to top (39)
- Add number of parameters and model memory to the table (40)
- Add training plot to docs (41)
- Add issue templates (42)
- Add example on how to use pretrained models with TensorFlow Datasets (46)
- Add documentation on how to reproduce training runs (50)


👷 Internal Improvements
- Simplify CI config using `pytest-azurepipelines` (43)
- Add `pyflakes` and `black` linting (44)
- Update `zookeeper` requirement from ~=0.3.1 to >=0.3.1,<0.5.0 (45)
- Fix code coverage path (47)

0.2.0

🎉 Features
- Add pretrained Binary AlexNet (35, 37)
- Add pretrained XNOR-Net (26)

📖 Documentation
- Fix Bi-Real Net link in docs (32)

👷 Internal Improvements
- Add integration test for training loop (38)
- Update zookeeper requirement to ~0.3.1 (36)
- Bump pillow from 6.0.0 to 6.1.0 (34)

xnornet-v0.1.0
Pretrained weights for XNOR-Net

binary_alexnet-v0.1.0
Pretrained weights for Binary AlexNet

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