Results 21 to 30 of about 134,020 (300)
Revolutionizing Medical Imaging through Deep Learning Techniques:An Overview. [PDF]
International Journal of Intelligent Computing and Information Sciences, 2023 Medical imaging is a crucial tool for various clinical applications, including examination of medical issues, including early identification, monitoring, diagnosis, and therapy. To analyse medical images using computer vision, it is crucial to comprehend
Salma Elgayar +2 more
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Advances in Password Recovery Using Generative Deep Learning Techniques
, 2021 1527Password guessing approaches via deep learning have recently been investigated with significant breakthroughs in their ability to generate novel, realistic password candidates.
Cvejoski, Kostadin +9 more
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An Introductory Review of Deep Learning for Prediction Models With Big Data
Frontiers in Artificial Intelligence, 2020 Deep learning models stand for a new learning paradigm in artificial intelligence (AI) and machine learning. Recent breakthrough results in image analysis and speech recognition have generated a massive interest in this field because also applications in
Frank Emmert-Streib +9 more
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Geometric deep learning and equivariant neural networks [PDF]
, 2023 We survey the mathematical foundations of geometric deep learning, focusing on group equivariant and gauge equivariant neural networks. We develop gauge equivariant convolutional neural networks on arbitrary manifolds M using principal bundles with ...
Aronsson, Jimmy +22 more
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Tomography, 2023 Breast cancer remains the leading cause of cancer-related deaths in women worldwide. Current screening regimens and clinical breast cancer risk assessment models use risk factors such as demographics and patient history to guide policy and assess risk ...
Maham Siddique +4 more
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SPSA for layer-wise training of deep networks
, 2022 S.564-573Concerned with neural learning without backpropagation, we investigate variants of the simultaneous perturbation stochastic approximation (SPSA) algorithm.
Bauckhage, Christian +2 more
core +1 more source
Deep Machine Learning and Neural Networks: An Overview [PDF]
, 2017 Deep learning is a technique of machine learning in artificial intelligence area. Deep learning in a refined "machine learning" algorithm that far surpasses a considerable lot of its forerunners in its capacities to perceive syllables and picture.
Mishra, Chandrahas, Gupta, D. L.
core +2 more sources
Synaptic Plasticity Dynamics for Deep Continuous Local Learning (DECOLLE)
Frontiers in Neuroscience, 2020 A growing body of work underlines striking similarities between biological neural networks and recurrent, binary neural networks. A relatively smaller body of work, however, addresses the similarities between learning dynamics employed in deep artificial
Jacques Kaiser +3 more
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Deep Learning with Artificial Neural Networks
, 2021 The field of artificial intelligence (AI) continues to evolve rapidly, with deep learning and neural networks playing a central role in many of its most impressive breakthroughs. From image recognition to natural language processing and beyond, these technologies have re-shaped how machines learn from data and interact with the world.
openaire +3 more sources
A Novel Deep Learning Approach With Data Augmentation to Classify Motor Imagery Signals
IEEE Access, 2019 Brain-computer interface provides a new communication bridge between the human mind and devices, depending largely on the accurate classification and identification of non-invasive EEG signals. Recently, the deep learning approaches have been widely used
Zhiwen Zhang +6 more
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