LM101-015: How to Build a Machine that Can Learn Anything (The Perceptron) - podcast episode cover

LM101-015: How to Build a Machine that Can Learn Anything (The Perceptron)

Learning Machines 101
Oct 27, 2014•30 min•Season 1Ep. 15
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Episode description

In this 15th episode of Learning Machines 101, we discuss the problem of how to build a machine that can learn any given pattern of inputs and generate any desired pattern of outputs when it is possible to do so! It is assumed that the input patterns consists of zeros and ones indicating possibly the presence or absence of a feature. 

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