Machine-Learning
Cost Function
The measurement of accuracy of a hypothesis function. The accuracy is given as an average difference of all the results of the hypothesis from the inputs …
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Gradient Descent Cost Function Hypothesis Function Artificial Neural Network
Read →Gradient Descent
An optimization algorithm for finding the local minimum of a differentiable function. (The red arrows show the minimums of , i.e. …
Read →Hypothesis Function
A function which maps values to an output value . Historically, in ML, hypothesis functions are denoted .
Read →Artificial Neural Network
Artificial Neural Network (ANN) Layers All learning occurs in the layers. In the image, below, there are three layers, but there could be only one, or many …
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