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Results tagged with neural-networks
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user 159678
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.
1
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How does the convolution work for a simple example 1D and its relation to the true mathemati...
First, are you familiar with convolution in the 2 dimensional case? It will look like this:
$$ s(i, j) = (I * K)(i, j) = \sum^{\infty}_{a = - \infty} \sum^{\infty}_{b = - \infty} I[a, b] K[i - a, j-b …
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20
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2
answers
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Purpose of Dirichlet noise in the AlphaZero paper
In DeepMind's AlphaGo Zero and AlphaZero papers, they describe adding Dirichlet noise to the prior probabilities of actions from the root node (board state) in Monte Carlo Tree Search:
Additional …
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Why does Bengio, Goodfellow and Courville deep learning theory book claim $\hat{y} = x w_1 ....
To be fair, it is easy to misunderstand it to mean "a nonlinear function of each of the weights $w_i$." In that case, your analysis would be correct.
For what it's worth, since we're working with rea …
- 485