Deep DiveIntroduction to Deep Learning and Neural Networks Coresight Research August 22, 2016 Executive Summary Deep learning and neural networks are techniques used in computer science to analyze data. They are especially useful in pattern and image recognition. Neural networks use software to mimic the function of the many neurons in the human brain. These functions can be tuned over time; this means man-made neural networks can learn. Deep learning refers to the use of multiple layers of neural networks. Consumers benefit from these technologies every day when they read curated news headlines, research renting a room online or converse with a chatbot. Although the emerging artificial intelligence (AI) market is estimated at just $400 million this year, it can potentially enhance tens of billions of adjacent markets such as, medicine, consumer electronics, robotics, and most importantly, autonomous cars. Many global industrial and technology companies are pursuing autonomous cars. Venture capitalists and technology companies are aggressively investing in and acquiring AI startups. Already a subscriber? Log in You are currently viewing a preview of this report. Please select an access option to view the full report. Hide Options - Show Options + Get unlimited access to all our research with one of our subscription plans. View Subscription Plans or Contact us to purchase this report. Contact us ✕ This document was generated for Other research you may be interested in: Trends and Predictions for 2025 with Updates from CES and NRF: Premium Subscriber Call, January 2025US Store Tracker Extra, January 2025: 50+ Million Square Feet of Retail Space Slated To Close This YearThe New Coresight 100: Leading the Retail Charge in 2025—InfographicEarnings Insights 1Q25, Week 2: Adidas, CVS, Sprouts and More Report Solid Sales Growth—Infographic