Backpropogation and Machine Learning
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Backpropogation and Machine Learning

Backpropogation is the term used by those that claim to the experts in A.I. that describes the control process (algorithm) that is used in Machine Learning.

All the hype around AI is going to change the world and that it should be legislated before it gets out of hand means that it seems to be constantly in the News (February 2026). Sadly, those that report on it have no clue on what it is all about. I don't either! but I am trying to work it out.

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References - a note on these -

  • 1 - What is backpropagation? - https:// www.ibm.com/think/topics/ backpropagation
  • 2 - Geoffrey Hinton - https:// en.wikipedia.org/wiki/ Geoffrey_Hinton
  • 3 - Backpropagation - https://en.wikipedia.org/wiki/Backpropagation - In machine learning, backpropagation is a gradient computation method commonly used for training a neural network in computing parameter updates.
  • 4 - Neural network - https://en.wikipedia.org/wiki/Neural_network
  • 5 - Machine learning - https://en.wikipedia.org/wiki/Machine_learning
  • 6 - Neural network (machine learning) - https://en.wikipedia.org/wiki/Neural_network_(machine_learning)

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