What is deep learning?

Deep learning (also known by some within the industry as deep structured learning or hierarchical learning, among other titles) is really part of a wider family, or branch, of machine learning methods, as mentioned earlier. These methods are based on learning what is known as representations (that is, where the model discovers from the data the representations, patterns, or rules needed to carry out a desired task or meet an objective), as opposed to task specific algorithms (that is, detailed rules written out or predefined, describing how to perform a specific task).

Note

Representations or feature representations are critical to all types of learning. Feature representations can be learned and predefined manually or defined automatically by the model while analyzing the data.

An alternative to manual instruction

As an alternative to the process of manually creating rules, instructions, or equations deemed essential to solving a problem and then organizing data to be...