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Results tagged with neural-networks
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user 139605
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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Given an output space for a Neural Net, what is the minimum input space for training and pre...
There is no answer to the problem:
If you keep the same features: reducing the samples could lead to an improvement in accuracy by removing noise and outliers, a loss of accuracy if you remove good …
- 394
1
vote
Accepted
Single loss value for gradient descent in neural network optimization
Notes: if you have two NN who train on the same features, you can make a single one with a two row vector prediction. Also instead of having a loss function converging to sum_ret_theoretical, maybe yo …
- 394