What are the best practices on normalizing data (not sure if that is the right term) for NNs and other machine learning algorithms?What I mean is how you represent data to the NN/algo.
My project is to recognize ancient coins. I have used David Lowe\'s SIFT algorithm to extract features of images.
Hey guys, I\'m new to neural networks.. I want to know how to come up with equations for outputs of nodes in the hidden and output layers of a neural network.I would like to know the answer to the bel
It's difficult to tell what is being asked here. This question is ambiguous, vague, incomplete, overly broad, or rhetorical andcannot be reasonably answered in its current form. For help clari
I\'m developing a distributedsystem in which a plan to use a neural network for sales prediction. A small description of the system: the system combine the workflow of modules such as Pharmacy, Patie
I\'m new to ASP.NET MVC and I\'m trying to figure out the right way of coding in it. I\'m trying to implement a multi-layer architecture with a generic repository for data access.
I\'ve created an OCR with matlab\'s Neural Networks. I\'ve used traingdx net.trainParam.epochs = 8000; net.trainParam.min_grad = 0.0000;
I\'m dealing with neural networks here, but it\'s safe to ignore that, as the real question has to deal with blocks in objective-c. Here is my issue. I found a way to convert a neural network into a b
I am using FANN, pyfann in particular, for signature recognition. Before I can use AI, I have to prepocess the image first using the imagelab, a compilation of image processing libraries like image.h,
Which libraries/plugins are the best(fast/well-documented/etc) for designing and 开发者_运维百科creating neural nets with backpropgation?
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