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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 $\ …
2
votes
0
answers
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 …