What is deep learning? It is a branch of machine learning and it uses algorithms to process data and imitate the thinking process. DATAVERSITY brought this interesting information to our attention in their article, “A Brief History of Deep Learning.”

Using layers of algorithms to process data, understand human speech, and visually recognize objects, deep learning enables information to pass through each layer, with the output of the previous layer providing input for the next layer. Call it the snowball effect.

Deep learning is not new, but it isn’t old either. The earliest efforts in developing deep learning algorithms came from mathematician Alexey Grigoryevich Ivakhnenko, and Valentin Grigorʹevich Lapa (author of Cybernetics and Forecasting Techniques) in 1965. Deep learning is still evolving and in need of creative ideas.

In current time, big data and the evolution of artificial intelligence are both dependent on deep learning.

Melody K. Smith

Sponsored by Access Innovations, the world leader in thesaurus, ontology, and taxonomy creation and metadata application.