Table 1.
Artificial intelligence | Terms and definitions |
---|---|
Machine learning | Defined as an interdisciplinary field that uses statistical techniques to give computer systems the ability to “learn” from a given data set, without being explicitly programmed in a certain manner |
Deep learning | A type of machine learning that uses algorithms in multilayered neural networks for processing large amount of raw data |
Supervised learning | A type of machine learning that learns patterns from known data sets with known responses |
Unsupervised learning | A type of machine learning that learns patterns from unlabeled data sets |
Artificial neural networks (ANNs) | A framework for many different machine learning algorithms to work together and process complex data inputs |
Convolutional neural networks (CNNs) | Consists of layers of hidden nodes for processing information and is a type of ANN which “learns” by different mechanisms and help in image processing and complex data processing |
Abbreviations: ANN, artificial neural network; CNN, convolutional neural network.