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Results tagged with neural-networks
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user 37660
Network structure inspired by simplified models of biological neurons (brain cells). Neural networks are trained to "learn" by supervised and unsupervised techniques, and can be used to solve optimization problems, approximation problems, classify patterns, and combinations thereof.
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1
answer
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Approximating sign function by tanh in Multi Layer perceptrons
This is an exercise problem from the book "Learning from Data".
Given $w_1$ and $\epsilon \gt 0$, find $w_2$ such that, $$\lvert \mbox{sign}(w_1^Tx_n)-\tanh(w_2^Tx_n)\rvert \le \epsilon$$ Where $w_ …
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