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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.

2 votes

What is the difference between implicit and explicit stochastic gradient descent?

...how we can use $\theta_{k+1}$ before even defining it? It's actually defined by the update rule: $$ \theta_{k+1} = \theta_k - \gamma_k \nabla f(\theta_{k+1}) $$ What you do is you search for a $\ …
ForceBru's user avatar
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2 votes
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2k views

How to properly train a recurrent network on batches of data? [closed]

I'm new to time-series analysis using neural networks (but not to neural networks in general and programming). I have a 1D time-series of 47249 observations and a fairly slow computer, so training is …
ForceBru's user avatar
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