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What is Deep Learning?

Deep learning is a type of machine learning (ML) that utilizes neural networks to disseminate complex patterns. This type of technology allows artificial intelligence (AI) systems to perform human-like tasks, such as recognizing real-life objects or understanding speech. While the operation of these brain-inspired networks remains inscrutable, their interconnected layers’ algorithms give machines the ability to be trained and carry out specific tasks. Through algorithms that drive processes, organizations rely on the account of abstract variables to produce meaningful results.

Course Description

Deep learning is a type of machine learning (ML) that utilizes neural networks to disseminate complex patterns. This type of technology allows artificial intelligence (AI) systems to perform human-like tasks, such as recognizing real-life objects or understanding speech. While the operation of these brain-inspired networks remains inscrutable, their interconnected layers’ algorithms give machines the ability to be trained and carry out specific tasks. Through algorithms that drive processes, organizations rely on the account of abstract variables to produce meaningful results.

The “What is…?” series of data fundamentals courses, along with associated packaged Learning Plans, are meant to help data and non-data professionals build a common language and understanding between them on significant data-related topics such as Data Management, Data Governance, Data Stewardship, Data Modeling, Data Architecture, and many others.

These courses provide a means to develop a level of cooperative understanding between business users, executives, teams, and technical professionals across your organization, so that everyone can be on the same page as you move forward with your data programs and initiatives.

Purpose

To gain an overall understanding of the value and use of deep learning as an integral process for organizations.

Outcome: