32 min listen
LM101-015: How to Build a Machine that Can Learn Anything (The Perceptron)
LM101-015: How to Build a Machine that Can Learn Anything (The Perceptron)
ratings:
Length:
30 minutes
Released:
Oct 27, 2014
Format:
Podcast 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.
Check out: www.learningmachines101.com to obtain transcripts of this podcast!!!
Check out: www.learningmachines101.com to obtain transcripts of this podcast!!!
Released:
Oct 27, 2014
Format:
Podcast episode
Titles in the series (85)
LM101-005: How to Decide if a Machine is Artificially Intelligent (The Turing Test): Episode Summary: This episode we discuss the Turing Test for Artificial Intelligence which is designed to determine if the behavior of a computer is indistinguishable from the behavior of a thinking human being. The chatbot A.L.I.C.E. by Learning Machines 101