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3 Examples of Deep Learning

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Deep learning is a general approach to artificial intelligence that involves AI that acts as an input to other AI. Such architectures can be quite complex with a large number of machine learners giving their opinion to other machine learners. The following are illustrative examples.

Speech Recognition

An AI learns to tell the difference between languages. It decides a person is speaking English and invokes an AI that is learning to tell the difference between different regional accents of English. The AI decides the person is speaking Cardiff English and invokes an AI that is learning to speak Cardiff English. In this way, each conversation can be interpreted by a highly specialized AI that has learned their dialect.

Self-Driving Car

The street in front of a moving vehicle is interpreted by a large number of specialized AI. For example, one learner is only training to recognize pedestrians, another is learning to recognize street signs. There might be hundreds of such specialized visual recognition AI that all feed their opinions into an AI that interprets driving events. In theory, a single car could use the opinions of thousands or even millions of individual AI as it navigates a street.

Robotics

A housekeeping robot might use the opinions of a large number of AI in order to complete everyday tasks. For example, the robot might have a few AI devoted to dog psychology that help it deal with the household pet over the course of its day.
Overview: Deep Learning
Type
Definition
An artificial intelligence that contains many specialized artificial intelligences that act together in a coordinated way.
Notes
The examples above are somewhat simplified. For example, a self driving car might have several levels of learning just to recognize street signs. At each level, you could potentially have a large number of AI with results decided by a committee machine.
Related Concepts

Artificial Intelligence

This is the complete list of articles we have written about artificial intelligence.
Affective Computing
Artificial Knowledge
Artificial Stupidity
Blockhead
Bot
Chinese Room
Decision Trees
Deep Learning
Deep Magic
Emergence
Ensemble Learning
Event Processing
Forward Chaining
Fuzzy Logic
Gamification
Intentionality
IT Biases
IT Examples
Machine Biases
Machine Unlearning
Predictive Analytics
Robotics
Sentiment Analysis
Superintelligence
Swarm Intelligence
Turing Test
More ...
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