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Results tagged with neural-networks
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user 49738
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.
0
votes
How does an individual feature affect predictions in neural network classification problem?
Disclosure: I initially saw and answered the copy of this question on the Data Science site. Below is a copy of my answer on DS site.
Is there a way to quantify the likelihood in ANN similar to l …
- 415
-1
votes
Deep learning methods with seasonal data
I‘m not familiar with LSTM, but I suggest keeping the trend in the data. Otherwise, the model will not be able to learn this trend.
Also, if LSTM can manage it, you should add the time of the day as …
- 415
2
votes
Parameter optimization with Neural Networks
But beside the normal tricks - is there something fundamentally wrong with my problem.
Yes, I think there is something fundamentally wrong with your problem statement.
From your description of …
- 415