Deep Learning for Outlier Detection on Tabular and Image Data | by W Brett Kennedy | Jan, 2025
The challenges and promises of deep learning for outlier detection, including self-supervised learning techniques29 min read·16 hours agoIn the last...
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Deep Bayesian active learning using in-memory computing hardware
Synapse weights stochastic characteristicsTo implement in-memory DBAL, we used an expandable stochastic CIM computing (ESCIM) system (Extended Data Fig. 1)....
Audio-visual aesthetic teaching methods in college students’ vocal music teaching by deep learning
Experimental materialsRetrieval data based on STEAM educationDrawing upon the antecedent literature research, the keyword for retrieval is “STEM/STEAM education.” Subsequently,...
Top Deep Learning Interview Questions and Answers for 2025
The demand for Deep Learning has grown over the years and its applications are being used in every business sector....
Deep learning techniques transform protein structure prediction
In the rapidly advancing field of computational biology, a newly peer-reviewed review explores the transformative role of deep learning techniques...
Deep learning methods for high-resolution microscale light field image reconstruction: A survey
REVIEW article Front. Bioeng. Biotechnol. Sec. Biosensors and Biomolecular Electronics Volume 12 - 2024 | doi: 10.3389/fbioe.2024.1500270 This article is...
