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1 maj 2007 · Deep learning typically induces positive connotations and represents the learning strategy that educational institutions should adopt in order to assure a sustainable future in modern societies.
26 mar 2023 · First, we examine the concept of deep learning in light of the three fundamental questions “why”, “what”, and “how” and make assessments concerning its status in contemporary literature. Second, we discuss the compatibility between the idea of deep learning and the concepts of educational inclusion and adapted instruction.
New Pedagogies for Deep Learning is a Global Knowledge Building Partnership dedicated to transforming learning by building knowledge about deep learning competencies, the pedagogical practices that develop them, and ways to measure progress.
1 lip 2020 · This systematic mapping review attempts to reduce this ambiguity by investigating the definitions of deep learning in 71 research publications on primary and secondary education from 1970...
Deep learning allows computational models that are composed of multiple processing layers to learn representations of data with multiple levels of abstraction.
In our taxonomy, we take into account deep networks for supervised or discriminative learning, unsupervised or generative learning as well as hybrid learning and relevant others. We also summarize real-world application areas where deep learning techniques can be used.
26 mar 2020 · We synthesised the content of the definitions of the five publications using deep learning as the learning process leading to transfer of learning to a novel situation. These publications explicitly refer to research on transfer of learning when defining deep learning.
