According to this video, neural networking is used to better identify an object, i.e. coffee mugs in this example. My first question: put in simplistic and generalized terms, what would the code for ...
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?
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 ...
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 ...
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 ...
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 ...
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 ...
Can you please explain neural networks in simple words with an example?
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 ...
I enjoy learning about artificial intelligence techniques What other techniques are useful for AI and machine learning other than neural networks?