Results 321 to 330 of about 10,369,018 (353)
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DeepLabCut: markerless pose estimation of user-defined body parts with deep learning
Nature Neuroscience, 2018Quantifying behavior is crucial for many applications in neuroscience. Videography provides easy methods for the observation and recording of animal behavior in diverse settings, yet extracting particular aspects of a behavior for further analysis can be
Alexander Mathis +6 more
semanticscholar +1 more source
2023
Offering a variety of connectionist models that are representative of the state-of-the-art, this textbook provides a succinct, accessible, and interesting first introduction to deep learning. The work takes a user-friendly approach to examining today's top algorithms and architectures, walking readers through the arithmetic behind each concept as it is
Niranchana Shri Viswanathan +3 more
+4 more sources
Offering a variety of connectionist models that are representative of the state-of-the-art, this textbook provides a succinct, accessible, and interesting first introduction to deep learning. The work takes a user-friendly approach to examining today's top algorithms and architectures, walking readers through the arithmetic behind each concept as it is
Niranchana Shri Viswanathan +3 more
+4 more sources
Nature Computational Science, 2021
The computational complexity of deep neural networks is a major obstacle of many application scenarios driven by low-power devices, including federated learning. A recent finding shows that random sketches can substantially reduce the model complexity without affecting prediction accuracy.
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The computational complexity of deep neural networks is a major obstacle of many application scenarios driven by low-power devices, including federated learning. A recent finding shows that random sketches can substantially reduce the model complexity without affecting prediction accuracy.
openaire +2 more sources
Deep Questioning and Deep Learning
Academic Radiology, 2012T here is relatively strong empirical evidence that an effective means of enhancing learner performance is to pose ‘‘deep questions’’ (1). Examples of deep questioning include asking learners to explore the causes of a sequence of events, the motivations of the people involved, or the quality of the evidence behind a particular practice or theory.
openaire +2 more sources
2023
We have developed this volume, Deep Reading, Deep Learning, as a companion to our 2017 NCTE book, Deep Reading: Teaching Reading in the Writing Classroom, which received the CCCC Outstanding Book Award in 2019 for Best Edited Collection. In this volume we address a range of social, ethical, and pedagogical issues that have emerged as essential concerns
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We have developed this volume, Deep Reading, Deep Learning, as a companion to our 2017 NCTE book, Deep Reading: Teaching Reading in the Writing Classroom, which received the CCCC Outstanding Book Award in 2019 for Best Edited Collection. In this volume we address a range of social, ethical, and pedagogical issues that have emerged as essential concerns
openaire +1 more source
Deep Learning for the Life Sciences
This intensive workshop provides a comprehensive exploration of deep learning applications in life sciences, focusing on practical techniques for analyzing complex biological datasets.
Nikolay Oskolkov
semanticscholar +1 more source
SIGGRAPH Asia 2019 Courses, 2018
Concepts, terminology, structures, no math, no code. Free open-source libraries do the hard work. My background: consultant, writer, director, etc.
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Concepts, terminology, structures, no math, no code. Free open-source libraries do the hard work. My background: consultant, writer, director, etc.
openaire +1 more source
A review on the attention mechanism of deep learning
Neurocomputing, 2021Zhaoyang Niu, G. Zhong, Hui Yu
semanticscholar +1 more source