Nastop na temo umetne inteligence v dominikanskem samostanu
Umetna inteligenca
gost
dr. Bojan Ploj
Umetna inteligenca je po mnenju
mnogih najobetavnejše področje informacijskih tehnologij. Njen vpliv na naša
življenja je ponekod že viden, postaja pa vse večji in nihče pa ni povsem
prepričan, ali bo nam resnično ta tehnologija vsem (samo) koristila.
Vabljeni na tematski družabni dogodek z glasbo, video odlomki na temo umetne inteligence, predstavitvijo gosta in diskusijo.
Artificial intelligence (AI) is a relatively young branch of science that stirs the imagination of many. Even movie directors from hollywood are not exceptions. Development in AI area is very fast and there is no indication that this will change soon. I still remember my first contact with learning devices. This happend at the end of the last millennium when I realized neural networks (NN). They have immediately attracted my attention, because such devices were not known till then. NN are made along the lines of mammalian brain. During the learning NN extract the essence from the data. After the learning we can ask NN questions. It gives us the right answers even to questions that during learning did not participate. NN learns autonomously and therefore may exceed the teacher's (poeple's) knowledge. Here are some important achievements of artificial intelligence: A couple of years ago the co...
Here is given an example of the "bipropagation" algorithm for learning of NN. It is written in MatLAB language (R2015a) and is as similar as possible to "Deep learning" example "AutoencoderDigitsExample.m" which is included in MatLAB's Neural Network Toolbox. So you can easily compare both algorithms. I believe that my algorithm have few advantages over autoencoder. Please tell me what do you think about it. Please cite me in your works. Thanks a lot. Download demo ====================================================== %% Training a Deep Neural Network for Digit Classification % This example shows how to use the Neural Network Toolbox(TM) to train a % deep neural network to classify images of digits and is very similar to % "AutoencoderDigitsExample.m" which is included in % Neuronal Network ToolBox from MatLAB. This example is made for comparison % of both algorithms. % % Neural networks with multiple hidden layers can be usefu...
Komentarji
Objavite komentar