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Results tagged with perceptron
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user 179483
An early example of neural network without any hidden layers and with a single (possibly nonlinear) output unit.
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Explanation of Equation 5.80 in Pattern Recognition and Machine Learning - Bishop
How the equation 5.80 in _Pattern Recognition and Machine Learning_ by Bishop is derived?
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Explanation of Equation 5.80 in Pattern Recognition and Machine Learning - Bishop
The perceptron architecture having the two layers ($j$,$k$) is shown below. The activation function at node $j$ is $h(.)$ and $k$ being the output node has unit activation. … Referring the perceptron diagram and using chain rule to back propagate the error across the path from $y_k$ to $a_j$, $\frac{\partial E_n}{\partial a_j}$ can be evaluated by first differentiating $E_n …
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