Deep Learning

Deep Learning is a type of Artificial Intelligence (AI) that enables computers to mimic the way the human brain functions. It is an artificial intelligence technique used to teach computers to perform tasks without explicit programming. It is used to recognize patterns and identify objects, images, audio and text in large datasets. Its applications are wide-ranging, from helping robots interact with the environment more like humans do, to detecting fraud in financial services, to recognizing user intents for search engine optimization. Deep Learning is one of the most promising technologies for the future, as it brings many advantages including higher accuracy, faster performance, and lower cost of development.

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Related Articles

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Search for New Targets of Deep Brain Stimulation for Epilepsy Treatment

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Analyzing Students’ Opinions about their Learning Environments and Study Approaches with Bayesian Modeling

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Short-Term Outcomes of Deep Brain Stimulation of the Subthalamic Nucleus in Patients with Parkinson’s Disease - Pilot Study

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Reduction of Side Effects by Segmented Electrodes in Case of Subthalamic Nucleus Deep Brain Stimulation in Parkinson Disease: A Case Report.

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Study of The ID3 and C4.5 Learning Algorithms

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Statistical Analysis on the Influence of Flipped Classroom Teaching on Students’ Learning Effect During the Coronavirus Disease 2019 Epidemic

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Critical Review of Teaching and Learning Methodologies for Learners with Special Educational Needs in the 21st Century and Beyond

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Success Driven: Student Motivation Actions in Teaching and Learning

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Comparative Study of Deep Learning Techniques for Detecting Corn Plant Leaf Diseases Using Transfer Learning

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Global importance of supporting the krill to whale component of the pelagic food web associated with migrations following deep sea seamounts

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Learning and Memory in an Animal Model of Longevity: The Ames Dwarf Mice

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