Tuesday, February 13, 2018
Automatic Learning Rate Scheduling That Really Works
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Training deep learning models can be a pain. In particular, there is this perception that one of the reasons it's a pain is because you ...
35 comments :
Sunday, January 14, 2018
Correctly Mirroring Datasets
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I get asked a lot of questions about dlib's landmarking tools . Some of the most common questions are about how to prepare a good train...
20 comments :
Thursday, December 28, 2017
A Global Optimization Algorithm Worth Using
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Here is a common problem: you have some machine learning algorithm you want to use but it has these damn hyperparameters . These are number...
102 comments :
Wednesday, December 20, 2017
Dlib 19.8 is Out
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Dlib 19.8 is officially out. There are a lot of changes , but the two most interesting ones are probably the new global optimizer and sema...
12 comments :
Saturday, September 23, 2017
Fast Multiclass Object Detection in Dlib 19.7
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The new version of dlib is out and the biggest new feature is the ability to train multiclass object detectors with dlib's convolutiona...
77 comments :
Sunday, August 27, 2017
Vehicle Detection with Dlib 19.5
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Dlib v19.5 is out and there are a lot of new features . There is a dlib to caffe converter, a bunch of new deep learning layer types, cuDNN...
50 comments :
Sunday, February 12, 2017
High Quality Face Recognition with Deep Metric Learning
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Since the last dlib release, I've been working on adding easy to use deep metric learning tooling to dlib. Deep metric learning is use...
466 comments :
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