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Results tagged with neural-networks
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user 80499
Artificial neural networks (ANNs) are a broad class of computational models loosely based on biological neural networks. They encompass feedforward NNs (including "deep" NNs), convolutional NNs, recurrent NNs, etc.
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Using several logistic regression models to calculate probability
I have a feedforward ANN with a single output neuron that I use sigmoid activation on to predict true/false. I want to obtain a percentage likelihood of the true or false outcome, but when I do the ap …
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Are CNNs just an efficiency shortcut to Dense Layers?
I'm reading up on Convolutions in neural nets, and they seem like a neat and efficient way of finding "features" in the input. But am I right in thinking that a high enough number of layers and neuron …
- 309
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How to train model for profit and not accuracy?
I have a modelling problem that I'm not sure how to approach.
Lets say I have a bunch of sports data, for example some stats on 1000 football games. I'm using a regular old feedforward neural net to …
- 309
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Use continuous variables or buckets in neural net?
I'm currently trying to learn a bit about neural nets (did Andrew Ng's Coursera course) but have a question I haven't been able to find a good "rule of thumb" answer to.
Lets say I have the classic d …
- 309