Introduction to Deep Learning and Neural Networks

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.