Week 11 (Artificial Intelligence) Flashcards
(15 cards)
_____ _____ are machines that are capable of performing tasks that typically require human intelligence.
Artificial intelligence
The ______ ______ stage of implementation mainly used techniques such as fuzzy logic and rule-based expert systems.
Artificial intelligence
______ ______ in the machine learning implementation stage is when labelled data is used to train the machine to produce the data specified.
Supervised learning
______ ______ in the machine learning implementation stage is when data which is not labelled is used to train the machine.
Unsupervised learning
______ ______ in the machine learning implementation stage refers to when the main method of learning is through the use of an ‘agent’ that learns to maximise ‘reward’ in an environment.
Reinforcement learning
______ ______ is a type of machine learning that uses artificial neural networks to learn from data.
Deep learning
The ______ neural network is good at classifying numbers-based data.
artificial
The ______ neural network is good at classifying images.
convolution
The ______ neural network is usually used for time series data such as audio.
recurrent
_____ _____ used in deep learning try to mimic the human brain by being designed to recognise patterns and the ability to learn on its own.
Neural network
Neural networks consist of three layers:
_____, _____, and _____
input, hidden, and output
The _____ layer in deep learning costs of learnable parameters and is usually fed with large amount of data. It is considered the part which contains the ‘algorithm’ that can learn and improve through the process of training.
hidden
A ____ neural network is a neural network with multiple hidden layers. In this neural network, much more sophisticated algorithms can be learnt.
deep
Current generation of AI technologies are still considered as _____ _____ _____, whereby AI is only designed to perform specific tasks within a limited domain.
artificial narrow intelligence
______ ______ ______ is a hypothetical type of AI that would possess human-level intelligence, capable of understanding, learning, and applying knowledge across a wide range of tasks.
Artificial general intelligence