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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.
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Why the change in output of a sigmoid neuron is a linear function of change in weights and c...
I read this chapter from Michael Neilson book http://neuralnetworksanddeeplearning.com/chap1.html
which claims by quoting the following equation, equation no. 5
$$
\delta output \approx \sum_j\frac{ …
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What is the difference between Sigmoid neurons and Stochastic binary neurons?
Stochastic Binary is not a smooth function, it is like a step function where as Sigmoid is a smooth function. Although at extreme ends, large positive and large negative Sigmoid give a similar behavio …