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Results tagged with neural-network
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user 96187
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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How to determine the inputshape of a ANN in Keras
There are basically two parts.
Why there is a comma in the [3,]? In this case you can skip it and just use [3]. You can encounter it in the tutorials, because you can pass the tuple as shape as well …
- 353
0
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Update of mean and variance of weights
The PyTorch remembers a computation graph. It means that for each value you get after the forward pass it remembers which operation you have applied and for all basic operations, it knows how to calcu …
- 353
0
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Do Recurrent Neural Networks assume stationarity or just a general kind of sequential depend...
The distribution is stationary, but it doesn't mean the time series should be stationary.
Let's imagine the recurrent network, that returns the n+1 if it was n on previous step. Distribution is not ch …
- 353