Deep Learning with C++ - Peter Goldsborough - Meeting C++ 2017
A new video from Meeting C++ 2017:
Deep Learning with C++
by Peter Goldsborough
November 14-16, Berlin, Germany
November 18-23, Wrocław, Poland
November 25, Wrocław, Poland
February 10-15, Hagenberg, Austria
March 19-21, Madrid, Spain
April 1-4, Bristol, UK
June 16-21, Sofia, Bulgaria
By Meeting C++ | Jan 16, 2018 10:04 AM | Tags: tensorflow meetingcpp machine learning deep learning
A new video from Meeting C++ 2017:
Deep Learning with C++
by Peter Goldsborough
By Meeting C++ | Oct 11, 2016 05:57 AM | Tags: intermediate efficiency deep learning cuda basics advanced
Today a new version of DLib is available:
DLib 19.2 released
Release notes
by Davis King
From the article:
... So the obvious thing to do was to add an implementation of MMOD with the HOG feature extraction replaced with a convolutional neural network. The new version of dlib, v19.2, contains just such a thing. On this page you can see a short tutorial showing how to train a convolutional neural network using the MMOD loss function. It uses dlib's new deep learning API to train the detector end-to-end on the very same 4 image dataset used in the HOG version of the example program. Happily, and very much to the surprise of myself and my colleagues, it learns a working face detector from this tiny dataset.