Biologically Inspired Machine Learning (Perceptrons Contd.)
9 important questions on Biologically Inspired Machine Learning (Perceptrons Contd.)
The can train a perception by adjusting the in a single layer.
is a set of correctly pre-classified inputs that is used to teach the perceptron to distinguish between two types of inputs.
is another set of correctly pre-classified inputs used after training is complete in order to determine how accurately the system has learned to classify the inputs.
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The training set and testing set should be .
occur when the perceptron fires when it should not have.
occur when the perceptron does not fire when it should have.
Is the learning process guaranteed to halt?
No, if the problem is not “perceptron learnable”
What are the characteristics of a “perceptron learnable” problem?
means that if you plot the elements of the training set on a two-dimensional grid, you must be able to separate the two output groups by a single straight line.
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