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  2. Multilayer perceptron - Wikipedia

    en.wikipedia.org/wiki/Multilayer_perceptron

    In deep learning, a multilayer perceptron (MLP) is a name for a modern feedforward neural network consisting of fully connected neurons with nonlinear activation functions, organized in layers, notable for being able to distinguish data that is not linearly separable.

  3. MLR Institute of Technology - Wikipedia

    en.wikipedia.org/wiki/MLR_Institute_of_technology

    The institute follows JNTUH strict attendance regulation, which requires students to put in a minimum class attendance of 75% to progress to the next semester. External (university) exams are held every semester in the campus and consolidated results in all these exams count towards the final aggregate grading.

  4. Artificial intelligence - Wikipedia

    en.wikipedia.org/wiki/Artificial_intelligence

    Artificial intelligence (AI), in its broadest sense, is intelligence exhibited by machines, particularly computer systems.It is a field of research in computer science that develops and studies methods and software that enable machines to perceive their environment and use learning and intelligence to take actions that maximize their chances of achieving defined goals. [1]

  5. Active learning (machine learning) - Wikipedia

    en.wikipedia.org/wiki/Active_learning_(machine...

    Active learning is a special case of machine learning in which a learning algorithm can interactively query a human user (or some other information source), to label new data points with the desired outputs. The human user must possess knowledge/expertise in the problem domain, including the ability to consult/research authoritative sources ...

  6. Computational learning theory - Wikipedia

    en.wikipedia.org/wiki/Computational_learning_theory

    Inductive inference as developed by Ray Solomonoff; [5] [6] Algorithmic learning theory, from the work of E. Mark Gold; [7] Online machine learning, from the work of Nick Littlestone [citation needed]. While its primary goal is to understand learning abstractly, computational learning theory has led to the development of practical algorithms.

  7. Neural network (machine learning) - Wikipedia

    en.wikipedia.org/wiki/Neural_network_(machine...

    Furthermore, researchers involved in exploring learning algorithms for neural networks are gradually uncovering generic principles that allow a learning machine to be successful. For example, Bengio and LeCun (2007) wrote an article regarding local vs non-local learning, as well as shallow vs deep architecture.

  8. Feature learning - Wikipedia

    en.wikipedia.org/wiki/Feature_learning

    Feature learning is intended to result in faster training or better performance in task-specific settings than if the data was input directly (compare transfer learning). [1] In machine learning (ML), feature learning or representation learning [2] is a set of techniques that allow a system to automatically discover the representations needed ...

  9. Jawaharlal Nehru Technological University, Hyderabad

    en.wikipedia.org/wiki/Jawaharlal_Nehru...

    Jawaharlal Nehru Technological University was established on 2 October 1972, by an act of State Legislature. On its formation, the Government Engineering Colleges at Anantapur, Kakinada and Hyderabad, along with the Government College of Fine Arts and Architecture at Hyderabad, became its constituent colleges.