Machine Learning in Python: Hands on Machine Learning with Python Tools, Concepts and Techniques by Mather Bob

Author:Mather, Bob [Mather, Bob]
Language: eng
Format: azw3
Published: 2018-08-08T16:00:00+00:00

Implementing an Artificial Neural Network

What are Artificial Neural Networks?

Artificial neural networks are a classification of algorithm mixed with conceptual analysis of how biology, psychology, and circuitry integration work.

What is Conceptual Analysis?

A lot of people equate conceptual analysis to being that of philosophizing about a concept. The problem is that philosophizing about a specific topic, while useful in its own right, doesn't really break down the aspects of how to associate such concepts of philosophy to real-world Applications. Philosophy is the art of getting to the root of something via a route of logical reasoning. This is in fact a very useful tool in the programming world, the problem is that it's not conceptual analysis.

The best way to describe conceptual analysis is if you were to take a beer opener that you bought at a local convenience store and used it to open a soda bottle, the old ones. In such a case, you have made an association between the old type of soda bottle and the current type of glass beer. The beer opener works for both of them, but as the name denotes it was specifically designed for only opening beer. What we have done here is we have made a conceptual analysis of the device and found a different use for it. We understand the beer opener as a device that lifts metal lids off of glass containers if that lid meets a certain shape. Therefore, while only intended for opening beer bottles, we have analyzed the soda bottle and found that we can use the beer opener to open that type of bottle. The definition is to take a concept, look at it carefully, and see if that concept can be applied elsewhere.

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