Deep Learning Learning : How Does Deep Learning’s Learning Method Differ From Other Forms and Branches of Machine Learning?

How Does Deep Learning’s Learning Method Differ From Other Forms and Branches of Machine Learning?

Deep Learning Learning has become extremely in vogue over the last few years. Moreover, corporate America embraces the usefulness that Deep Learning offers. As a branch of Artificial Intelligence Deep Learning is one of the most useful forms of Ai.

Ai is fantastic at taking a large data set and making predictions. An Artificial Intellgience Deep Learner is a very specialized tool of Artificial Intelligence. One that is not versatile by any means. Moreover, it is the most specialized tool within the Artificial Intelligence family. For a Deep Learern can master a data set. However, if that data set evolves over time the Deep Learner will have trouble.

As a result, a deep learner is great at reading numbers. Since numbers don’t change and are a set data set to learn from. A check’s numbers will never mean anything differently from the number that is printed. Whereas in most of Artificial Intelligence, a data set will vary over time with its meaning.

What does that mean?

Well machine learning DL has had trouble predicting stocks because the underlying data that makes up economies and companies is constanly changing.

Whereas a deep learner can read 10,000 on a check and that 10,000 will always mean 10,000. Furthermore, in finance or in many data sets. That “10,000” can have a number of different interpretations.

So if you are honeywell and you want a deep learner to count how many masks when down a conveyer belt, you are set. In conclusion, manufacturing is a perfect place for a deep learner to add value. Taking away repetitive counting and monitoring tasks. But, lastly, don’t ask that deep learner to understand a constanly changing data set. It will drown!

Learning God Yann LeCun – Rebellion Research

Artificial Intelligence & Machine Learning – Rebellion Research