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@ -11,6 +11,34 @@
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<!-- ************************************************************************************** -->
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<current>
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New Features and Improvements:
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- Added CUDA implementation for loss_mean_squared_per_channel_and_pixel.
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- Added DCGAN example in examples/dnn_dcgan_train_ex.cpp
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- Added transfer learning example in examples/dnn_introduction3_ex.cpp
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- Added leaky_relu activation layer
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- Added mish activation layer
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- Added loss_multiclass_log_weighted
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- Added loss_binary_log_per_pixel
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- Minor API simplifications in deep learning tooling.
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- imglab can automatically select the number of image clusters when --cluster 0 is given.
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- Added a relative epsilon termination option to svm_c_linear_trainer
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- Support new version of OpenCV that doesn't have IplImage anymore.
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Non-Backwards Compatible Changes:
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Bug fixes:
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- Corrected interpolate_bilinear for lab_pixel.
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- Fix build errors in CUDA 10.2
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- Make equal_error_rate() handle degenerate case where all scores are equal.
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- Fix DLIB_ISO_CPP_ONLY not working
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- Fix build errors in C++20 build mode.
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- Fixed function_evaluation_request::set() invalidating function_evaluation_request::x()
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</current>
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<!-- ************************************************************************************** -->
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<old name="19.19" date="Dec 14, 2019">
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New Features and Improvements:
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- Made find_min_global() and find_max_global() much faster when using them
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to optimize inexpensive functions. These tools now measure the runtime of
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@ -29,7 +57,7 @@ Bug fixes:
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- Fix find_max() going into an infinite loop in some cases when a
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non-differentiable function is given.
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</current>
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</old>
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<!-- ************************************************************************************** -->
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