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update release notes

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Davis King 2022-01-24 08:35:47 -05:00
parent 3c654a7a9e
commit 02b290e3fb
1 changed files with 30 additions and 2 deletions
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docs/docs/release_notes.xml
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@ -10,8 +10,36 @@
<!-- ************************************************************************************** -->
<current>
New Features and Improvements:
- Added serialization support for std::variant and std::optional.
- Added upgrades to dlib::type_safe_union: type_safe_union_size, type_safe_union_alternative_t,
made into variadic template, more generic visit() method.
- Added dlib/invoke.hh which contains C++11 backports of std::invoke and related tooling.
- Added letterbox_image()
- Exposed momentum_filter to Python.
- Deep learning tooling:
- Added Clipped ReLU and ELU activations
- Made input_layer() work with networks that contain repeat layers.
- Added loss_yolo_ for training YOLO style object detectors.
- Added support for fused convolutions, see dlib::fuse_layers().
- Added dnn self supervised learning example: dnn_self_supervised_learning_ex.cpp
Non-Backwards Compatible Changes:
Bug fixes:
- Fix input/output mappings with repeat layers (PR #2337)
- Fix disable_duplicative_biases when the input is a skip layer (PR #2367)
- Fix cannot compile iso only code (PR #2384)
- Fix running gradient crashing sometimes (PR #2401)
- Fix trainer with unsupervised loss (PR #2436)
- Fix dnn_trainer trying to decrease the learning rate (PR #2442)
- Fix Layer Normalize (PR #2489)
</current>
<!-- ************************************************************************************** -->
<old name="19.22" date="Mar 28, 2021">
New Features and Improvements:
- Deep learning tooling:
- Added loss_multibinary_log_
@ -39,7 +67,7 @@ Bug fixes:
- Fixed bug in loss_mmod that degraded the quality of bounding box regression. Now
bounding box regression works a lot better.
- Fixes for code not compiling in various environments and support newer CUDA tooling.
</current>
</old>
<!-- ************************************************************************************** -->