Tutorial: What is Deep Learning?

The term “deep learning” was coined in 2006, and refers to machine learning algorithms that have multiple non-linear layers and can learn feature hierarchies [1].

Most modern machine learning relies on feature engineering or some level of domain knowledge to obtain good results. In deep learning systems, this is not the case — instead, algorithms can automatically learn feature hierarchies, which represent objects in increasing levels of abstraction. Although the basic ingredients of many deep learning algorithms have been around for many years, they are currently increasing in popularity for many reasons, including advances in compute power, the falling cost of computing hardware, and advances in machine learning research.

More: https://www.kaggle.com/c/word2vec-nlp-tutorial/details/what-is-deep-learning

Source: Kaggle

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