Efficientnet: Rethinking model scaling for convolutional neural networks
Abstract Convolutional Neural Networks (ConvNets) are commonly developed at a fixed
resource budget, and then scaled up for better accuracy if more resources are given. In this …
resource budget, and then scaled up for better accuracy if more resources are given. In this …
[PDF][PDF] EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks
M Tan, QV Le - deadneurons.com
Abstract Convolutional Neural Networks (ConvNets) are commonly developed at a fixed
resource budget, and then scaled up for better accuracy if more resources are available. In …
resource budget, and then scaled up for better accuracy if more resources are available. In …
EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks
M Tan, QV Le - arXiv preprint arXiv:1905.11946, 2019 - arxiv.org
Convolutional Neural Networks (ConvNets) are commonly developed at a fixed resource
budget, and then scaled up for better accuracy if more resources are available. In this paper …
budget, and then scaled up for better accuracy if more resources are available. In this paper …
[PDF][PDF] EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks
M Tan, QV Le - islab.ulsan.ac.kr
Abstract Convolutional Neural Networks (ConvNets) are commonly developed at a fixed
resource budget, and then scaled up for better accuracy if more resources are available. In …
resource budget, and then scaled up for better accuracy if more resources are available. In …
[PDF][PDF] EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks
M Tan, QV Le - m.ha.edu.cn
Abstract Convolutional Neural Networks (ConvNets) are commonly developed at a fixed
resource budget, and then scaled up for better accuracy if more resources are available. In …
resource budget, and then scaled up for better accuracy if more resources are available. In …
[PDF][PDF] EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks
M Tan, QV Le - wittesende.com
Abstract Convolutional Neural Networks (ConvNets) are commonly developed at a fixed
resource budget, and then scaled up for better accuracy if more resources are available. In …
resource budget, and then scaled up for better accuracy if more resources are available. In …
EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks
M Tan, QV Le - arXiv e-prints, 2019 - ui.adsabs.harvard.edu
Abstract Convolutional Neural Networks (ConvNets) are commonly developed at a fixed
resource budget, and then scaled up for better accuracy if more resources are available. In …
resource budget, and then scaled up for better accuracy if more resources are available. In …
[PDF][PDF] EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks
M Tan, QV Le - islab.ulsan.ac.kr
Abstract Convolutional Neural Networks (ConvNets) are commonly developed at a fixed
resource budget, and then scaled up for better accuracy if more resources are available. In …
resource budget, and then scaled up for better accuracy if more resources are available. In …
EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks
M Tan, QV Le - research.google
Abstract Convolutional Neural Networks (ConvNets) are commonly developed at a fixed
resource budget, and then scaled up for better accuracy if more resources are available. In …
resource budget, and then scaled up for better accuracy if more resources are available. In …
[PDF][PDF] EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks
M Tan, QV Le - thewhiteacre.com
Abstract Convolutional Neural Networks (ConvNets) are commonly developed at a fixed
resource budget, and then scaled up for better accuracy if more resources are available. In …
resource budget, and then scaled up for better accuracy if more resources are available. In …