Deep Learning Algorithms

Deep learning algorithms are a type of artificial intelligence that uses artificial neural networks to analyze large sets of data and identify patterns to make predictions. These algorithms are widely used for various applications, such as image recognition, natural language processing, and autonomous driving. Deep learning algorithms have allowed for faster and more accurate predictions by learning from and adapting to new data, resulting in improved performance. The use of deep learning algorithms has enabled much higher levels of accuracy and speed for various tasks in a wide range of industries, from finance and healthcare to robotics and autonomous driving.

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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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