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Results tagged with neural-networks
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user 95098
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.
1
vote
Make predictor/variable less important in Neural Network
Many ways you can do
Normalize the features, normalization will help reduce the "effect" of certain feature, for example in the housing prediction data, some features range between 0 and 1, but if o …
- 308
1
vote
Tricky Interview Question
This question is testing you when to use neural network and when to use regression.
Since it is a classification problem, the first you should know is that linear regression (not logistic) is a REGR …
- 308
2
votes
Are neural networks linear models?
The non-linear activations (activation function) of each layer give the non-linear element. If you are not using the non-linear activation, you will get a "linear" model in some sense, the key is the …
- 308