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Transfer of training is applying knowledge and skills acquired during training to a targeted job or role. This is a term commonly used within industrial and organizational psychology. [1] For example, after completing a safety course, transfer of training occurs when the employee uses learned safety behaviors in their work environment. [1]
Transfer of learning. Transfer of learning occurs when people apply information, strategies, and skills they have learned to a new situation or context. Transfer is not a discrete activity, but is rather an integral part of the learning process. Researchers attempt to identify when and how transfer occurs and to offer strategies to improve ...
Transfer learning (TL) is a technique in machine learning (ML) in which knowledge learned from a task is re-used in order to boost performance on a related task. [1] For example, for image classification, knowledge gained while learning to recognize cars could be applied when trying to recognize trucks.
Learning theory (education) A classroom in Norway. Learning theory describes how students receive, process, and retain knowledge during learning. Cognitive, emotional, and environmental influences, as well as prior experience, all play a part in how understanding, or a worldview, is acquired or changed and knowledge and skills retained. [1][2 ...
Knowledge transfer icon from The Noun Project.. Knowledge transfer refers to transferring an awareness of facts or practical skills from one entity to another. [1] The particular profile of transfer processes activated for a given situation depends on (a) the type of knowledge to be transferred and how it is represented (the source and recipient relationship with this knowledge) and (b) the ...
In deep learning, fine-tuning is an approach to transfer learning in which the parameters of a pre-trained model are trained on new data. [1] Fine-tuning can be done on the entire neural network, or on only a subset of its layers, in which case the layers that are not being fine-tuned are "frozen" (or, not changed during the backpropagation step). [2]
Technology transfer (TT), also called transfer of technology (TOT), is the process of transferring (disseminating) technology from the person or organization that owns or holds it to another person or organization, in an attempt to transform inventions and scientific outcomes into new products and services that benefit society. [1][2 ...
In transfer learning a model designed for one task is reused on a different task. [11] Training an autoencoder intrinsically constitutes a self-supervised process, because the output pattern needs to become an optimal reconstruction of the input pattern itself. However, in current jargon, the term 'self-supervised' has become associated with ...