Hybrid neural networks.

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I don't want the topic to go just to the statistics of neural network topics.

I propose to share experience and problems in working and training of non-standard neural network architectures.

Here's the first link for theory

http://cgm.computergraphics.ru/content/view/62

or pdf file

[Debugger]

sergeev >> :

I don't want the topic to go just to the statistics of neural network topics.

I propose to share experience and problems in working and training of non-standard neural network architectures.

Here's the first link for theory

http://cgm.computergraphics.ru/content/view/62

or a pdf file

In neural networks I grew up with Heikin. I'm telling you right off the bat the book is not easy. You have to be very good at maths and you have to be on a first-name basis with a capital T.

In addition I would like to say that even in this book from a reputable publishing house there are a lot of errors. Whether they were in it by accident or not is a third question.

On neural networks, it's better to read in the originals. And this is English...

[Stanislav Korotky]

Something about the title doesn't match the content. There are several canonical (standard) network metaphors described in the link, and only a paragraph about hybrid metaphors, saying that everything described can be combined. That is, there is nothing hybrid or non-standard. What is the point of the new topic?

[SAMER]

It's strange, either almost no one is interested in it or everyone gets drunk on what they have and no one wants to distribute the place.

more likely the second)

[Denis Timoshin]

there are attempts to use hybrid networks based on fuzzy logic. It is still being refined.

[Сергей]

dentraf писал(а) >>
There are attempts to use hybrid networks based on fuzzy logic. Still in the refinement stage.

Anfisa mz Matlaba or fuzzyTech trying to improve :)

[Denis Timoshin]

SergNF писал(а) >>

Anfisa mz Matlaba or fuzzyTech are trying to improve :)

no, the MQL says

[Andrey Dik]

sergeev >> :

I invite you to share your experiences and challenges in working and learning Non-standard neural network architectures....

Isn't it time to start sharing experiences?

[ilyaa]

Gentlemen, training my perceptrons with back propagation algorithm. It works, but probability of finding global extremum is 50%-70% (from 100 neurons). Recently I finished writing genetics for XORa - I was happy. But when the average perceptron multiplied and began to mate, I realized that without parallel computation I'd sit for a month! Who overcame this limitation?

[Andrey Dik]

IlyaA >> :
Gentlemen, training my perceptrons with back propagation algorithm. It works, but probability of finding global extremum is 50%-70% (from 100 neurons). Recently I finished writing genetics for XORa - I was happy. But when the average perceptron multiplied and began to mate, I realized that without parallel computation I'd sit for a month! Who overcame this limitation?

Which limitation exactly are you talking about?

[ilyaa]

joo >> :

What kind of restriction are you talking about?

Time limit.