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-2
votes
1answer
146 views

How, in addition to backpropagation, are neural networks trained? [closed]

Backpropagation is perhaps the most famous method for training neural networks. What are some other alternative methods for training neural networks and how do they compare to backpropagation?
6
votes
5answers
271 views

Type of AI to tackle this problem?

I posted this on stackoverflow but want to get your recommendations as well as a user on overflow recommended I post it here. I'm going to say from the beginning that I am not a programmer, I have a ...
4
votes
5answers
935 views

Are neural networks the best approach to artificial intelligence and machine learning? [closed]

I enjoy learning about artificial intelligence techniques What other techniques are useful for AI and machine learning other than neural networks?
0
votes
1answer
46 views

Create association between informations

I deployed a project some days ago that allow to extract some medical articles using the results of a questionnaire completed by a user. For instance, if I reply on questionnaire I'm affected by ...
0
votes
2answers
258 views

Can neural network discover rng patterns

Can neural network find connections beetween numbers generated by random number generator without knowing about it's seed and predict this rng's next numbers with more sucess then randomly guessing? I ...
1
vote
4answers
498 views

Sign Language Recognition

I am a final year undergraduate student of Information Technology. My team and I have taken up "Sign Language Recognition" as our Final Year Project. We have just started with it and we are in the ...
6
votes
1answer
128 views

How to determine the source of a request in a distributed service system?

Map/Reduce is a great concept for sorting large quantities of data at once. What to do if you have small parts of data and you need to reduce it all the time? Simple example - choosing a service for ...
3
votes
1answer
229 views

Can symbolic AI 'learn' a data model?

Perceptrons, a simple form of supervised machine learning, must be trained with a set of known good inputs before they can "learn" by adjusting internal weights assigned to inputs, based on the ...
9
votes
4answers
1k views

What is a Neural Network in simple words

Can you please explain neural networks in simple words with an example?