ARTIFICIAL INTEIGENCE Flashcards

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1
Q

What is Supervised learning

A

Enables learning by mapping an input to an ouput based on examples input-output pairs

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2
Q

What is reinforcedment learning

A

Enables ñearning in an interactive environment by trial and error using its own experiences

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3
Q

What is Unsupervised learning

A

Enables leaning by allowing the process to discover patterns on its own that were previously undetected

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4
Q

What is Deep learning

A

-Deep learning is based on an artificial neural network but one with many hidden layers.
-Where the highest-level hidden layers are responsible for more abstract processing in an attempt to match the behaviour of the human brain.

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5
Q

What is Neural Network

A

-An artificial neural network is modelled on how the human brain works.
-The system contains nodes that are artificial neurons,
… which can receive input from other nodes or from outside of the system
…and can create an output
…that depends on the inputs and an activation function.

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6
Q

What is Machine leaning

A

-In machine learning a system has a task or tasks to perform
…for which the level of success can be judged.
-Depending on the level of success the system can adjust its methods
…to improve its performance.
-The learning can be supervised or
unsupervised (1).

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7
Q

Purpose of A* and Dijkstra algorithm

A

-To find the optimal route
…between two nodes
…based on a distance/cost

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