Questions tagged [neural-network]
Artificial neural networks (ANN), are composed of 'neurons' - programming constructs that mimic the properties of biological neurons. A set of weighted connections between the neurons allows information to propagate through the network to solve artificial intelligence problems without the network designer having had a model of a real system.
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Choosing a learning rate
I'm currently working on implementing Stochastic Gradient Descent, SGD, for neural nets using back-propagation, and while I understand its purpose I have some ...
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Debugging Neural Networks
I've built an artificial neural network in python using the scipy.optimize.minimize (Conjugate gradient) optimization function.
I've implemented gradient checking, double checked everything etc and I'...
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Multi layer back propagation Neural network for classification
Can someone explain me, how to classify a data like MNIST with MLBP-Neural network if I make more than one output (e.g 8), I mean if I just use one output I can easily classify the data, but if I use ...
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