Design of an energy-efficient accelerator for training of convolutional neural networks using frequency-domain computation. In 2017 54th ACM/EDAC/IEEE Design ...
Jun 15, 2022 · In this paper, we propose an initial catalog of 8 energy patterns for developing deep learning applications by analyzing 1361 posts from Stack Overflow.
This is an initial open catalog of energy patterns in deep learning development. Our goal is to share the knowledge accross the world and make the deep ...
Request PDF | On Jun 13, 2022, Shriram Shanbhag and others published Towards a Catalog of Energy Patterns in Deep Learning Development | Find, read and cite ...
The exponential rise of deep learning, aided by the availability of several frameworks and specialized hardware, has led to its application in a wide ...
This review aims to classify and discuss the key characteristics of machine learning and deep learning algorithms that apply to wave energy forecast and ...
Jan 12, 2024 · Towards a Catalog of Energy Patterns in Deep Learning Development. In Proceedings of the 26th International Conference on Evaluation and ...
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AI can be used to forecast power demand and generation, optimise maintenance and use of energy assets, understand better energy usage patterns, as well as ...
Towards a Catalog of Energy Patterns in Deep Learning Development · Shriram ... This paper proposes an initial catalog of 8 energy patterns for developing deep ...
Feb 5, 2023 · This paper aims to gather information about these advances from the literature and show how and at which points along the lifecycle of Deep Learning
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