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  2. Networked learning - Wikipedia

    en.wikipedia.org/wiki/Networked_learning

    Networked learning. Networked learning is a process of developing and maintaining connections with people and information, and communicating in such a way so as to support one another's learning. The central term in this definition is connections. It adopts a relational stance in which learning takes place both in relation to others and in ...

  3. Yann LeCun - Wikipedia

    en.wikipedia.org/wiki/Yann_LeCun

    Yann André LeCun [1] ( / ləˈkʌn / lə-KUN, French: [ləkœ̃]; [2] originally spelled Le Cun; [2] born 8 July 1960) is a French-American computer scientist working primarily in the fields of machine learning, computer vision, mobile robotics and computational neuroscience. He is the Silver Professor of the Courant Institute of Mathematical ...

  4. Yoshua Bengio - Wikipedia

    en.wikipedia.org/wiki/Yoshua_Bengio

    Yoshua Bengio OC FRS FRSC (born March 5, 1964) is a Canadian computer scientist, most noted for his work on artificial neural networks and deep learning. He is a professor at the Department of Computer Science and Operations Research at the Université de Montréal and scientific director of the Montreal Institute for Learning Algorithms (MILA).

  5. Social learning network - Wikipedia

    en.wikipedia.org/wiki/Social_learning_network

    A social learning network (SLN) is a type of social network that results from interaction between learners, teachers, and modules of learning. The modules and actors who form the SLN are defined by the specific social learning process taking place. The set of learners and the set of teachers in an SLN cannot be disjoint.

  6. Frank Rosenblatt - Wikipedia

    en.wikipedia.org/wiki/Frank_Rosenblatt

    Chesapeake Bay. Alma mater. Cornell University. Known for. Perceptron. Frank Rosenblatt (July 11, 1928 – July 11, 1971) was an American psychologist notable in the field of artificial intelligence. He is sometimes called the father of deep learning [1] for his pioneering work on artificial neural networks .

  7. Deep learning - Wikipedia

    en.wikipedia.org/wiki/Deep_learning

    Deep learning is the subset of machine learning methods based on neural networks with representation learning. The adjective "deep" refers to the use of multiple layers in the network. Methods used can be either supervised, semi-supervised or unsupervised. [2]

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