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Results tagged with neural-network
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user 39929
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.
1
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L1-Norm Batch Normalization for Efficient Training of Deep Neural Networks
Could anyone help to derive equation (15) dL/dx in L1-Norm Batch Normalization for Efficient Training of Deep Neural Networks ?
I found that the term inside the rectangle for the expression (12) is e …
- 283
1
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0
answers
155
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Winograd Convolution
For https://www.intel.ai/winograd-2/ , why use stride = 2 ?
Why need to transform input image pixels ?
Why this C++ implementation of winograd convolution does not require any input tensors transfor …
- 283
6
votes
1
answer
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Proper derivation of dz[1] expression for backpropagation algorithm
For backpropagation algorithm, is it true to have weight, $w$ transposed in the expression of $dz^{[1]} = w^{[2]T}dz^{[2]} * g^{[1]'}(z^{[1]}) $ ? Could anyone show me why $w^{[2]T}$ instead of just $ …
- 283