首页|New Artificial Intelligence Study Findings Have Been Published by Researchers at University of Ferrara (Integration between constrained optimization and deep ne tworks: a survey)
New Artificial Intelligence Study Findings Have Been Published by Researchers at University of Ferrara (Integration between constrained optimization and deep ne tworks: a survey)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Data detailed on artificial intelligen ce have been presented. According to news originating from Ferrara, Italy, by Ne wsRx correspondents, research stated, “Integration between constrained optimizat ion and deep networks has garnered significant interest from both research and i ndustrial laboratories.” Our news editors obtained a quote from the research from University of Ferrara: “Optimization techniques can be employed to optimize the choice of network struc ture based not only on loss and accuracy but also on physical constraints. Addit ionally, constraints can be imposed during training to enhance the performance o f networks in specific contexts. This study surveys the literature on the integr ation of constrained optimization with deep networks. Specifically, we examine t he integration of hyper-parameter tuning with physical constraints, such as the number of FLOPS (FLoating point Operations Per Second), a measure of computation al capacity, latency, and other factors. This study also considers the use of co ntext-specific knowledge constraints to improve network performance. We discuss the integration of constraints in neural architecture search (NAS), considering the problem as both a multi-objective optimization (MOO) challenge and through t he imposition of penalties in the loss function.”
University of FerraraFerraraItalyE uropeArtificial IntelligenceMachine Learning
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