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Results tagged with gradient-descent
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user 167528
Gradient descent is a first-order iterative optimization algorithm. To find a local minimum of a function using gradient descent, one takes steps proportional to the negative of the gradient (or of the approximate gradient) of the function at the current point. For stochastic gradient descent there is also the [sgd] tag.
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How to determine bias in simple neural network
I have built a very simple feed-forward neural network which given an input $x \in \{0, 1\}$, it is trained to learn $f(x) = x$, the identity function. Below is a model where on iteration $i$, $x_i$ i …
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