Artificial neural network and David J. C. MacKay

Shortcuts: Differences, Similarities, Jaccard Similarity Coefficient, References.

Difference between Artificial neural network and David J. C. MacKay

Artificial neural network vs. David J. C. MacKay

Artificial neural networks (ANNs) or connectionist systems are computing systems vaguely inspired by the biological neural networks that constitute animal brains. Sir David John Cameron MacKay (22 April 1967 – 14 April 2016) was a British physicist, mathematician, and academic.

Similarities between Artificial neural network and David J. C. MacKay

Artificial neural network and David J. C. MacKay have 2 things in common (in Unionpedia): Machine learning, Neural Computation (journal).

Machine learning

Machine learning is a subset of artificial intelligence in the field of computer science that often uses statistical techniques to give computers the ability to "learn" (i.e., progressively improve performance on a specific task) with data, without being explicitly programmed.

Artificial neural network and Machine learning · David J. C. MacKay and Machine learning · See more »

Neural Computation (journal)

Neural Computation is a monthly peer-reviewed scientific journal covering all aspects of neural computation, including modeling the brain and the design and construction of neurally-inspired information processing systems.

Artificial neural network and Neural Computation (journal) · David J. C. MacKay and Neural Computation (journal) · See more »

The list above answers the following questions

What Artificial neural network and David J. C. MacKay have in common
What are the similarities between Artificial neural network and David J. C. MacKay

Artificial neural network and David J. C. MacKay Comparison

Artificial neural network has 329 relations, while David J. C. MacKay has 64. As they have in common 2, the Jaccard index is 0.51% = 2 / (329 + 64).

References

This article shows the relationship between Artificial neural network and David J. C. MacKay. To access each article from which the information was extracted, please visit:

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