sreda, 07. december 2016

Video: Two Deep Learning algorithms

  • Online web session (second half of  video, after 32 minutes of intro)


    In this video conference, two new algorithms for learning Feed-Forward Artificial Neural Network are presented. In the introduction, a brief description of the development of the existing algorithms and their flaws are shown. The second part describes the first new algorithm - Bipropagation. The basic idea is given first, followed by a detailed description of the algorithm. In the third part yet another new algorithm is given, called Border Pairs Method. Again is first given a basic idea and then follows a detailed description of the algorithm. In the fourth part, the results and findings of experimental work are presented. In the conclusion, it is found that two described algorithms are fast and reliable - the second one is also constructive.


    Bojan PLOJ, PhD
    Born    1965 in Maribor, Slovenia, Europe
    Thesis   Border Pairs Method for learning of neural network
    Job 1 year R&D engineer at Birostroj Computers
       10 years teaching at Electronics high school in Ptuj
       4 years assistant professor University of Maribor
       7 years lecturer at Higher vocational college Ptuj
       3 years lecturer at the college of Ptuj (Artificial intelligence)
       Voice recognition with NN
       Hexapod gait control with NN
       Bipropagation algorithm for learning NN
       Border pairs method for learning NN