alexnet Search Results


alexnet neural network model  (EyePACS LLC)
90
EyePACS LLC alexnet neural network model
Alexnet Neural Network Model, supplied by EyePACS LLC, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/result/alexnet neural network model/product/EyePACS LLC
Average 90 stars, based on 1 article reviews
alexnet neural network model - by Bioz Stars, 2026-06
90/100 stars
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alexnet+nnc  (SoftMax Inc)
90
SoftMax Inc alexnet+nnc
Alexnet+Nnc, supplied by SoftMax Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/result/alexnet+nnc/product/SoftMax Inc
Average 90 stars, based on 1 article reviews
alexnet+nnc - by Bioz Stars, 2026-06
90/100 stars
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alexnet softmax  (SoftMax Inc)
90
SoftMax Inc alexnet softmax
The errors were computed over 3 epochs, of which each has 20000 iterations. Both learning processes used the same local receptive fields and drop ratio. The two loss functions were associated with a large L2-norm weight decay constant 0.005 (larger than that used in <t>AlexNet</t> ), which has proved to be useful for improving generalization of neural networks . Under these settings, softmax and hinge respectively achieved 0.932 and 0.891 in validation accuracy.
Alexnet Softmax, supplied by SoftMax Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/result/alexnet softmax/product/SoftMax Inc
Average 90 stars, based on 1 article reviews
alexnet softmax - by Bioz Stars, 2026-06
90/100 stars
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alexnet 27  (SVision LLC)
90
SVision LLC alexnet 27
The errors were computed over 3 epochs, of which each has 20000 iterations. Both learning processes used the same local receptive fields and drop ratio. The two loss functions were associated with a large L2-norm weight decay constant 0.005 (larger than that used in <t>AlexNet</t> ), which has proved to be useful for improving generalization of neural networks . Under these settings, softmax and hinge respectively achieved 0.932 and 0.891 in validation accuracy.
Alexnet 27, supplied by SVision LLC, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/result/alexnet 27/product/SVision LLC
Average 90 stars, based on 1 article reviews
alexnet 27 - by Bioz Stars, 2026-06
90/100 stars
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alexnet  (RenderX Inc)
90
RenderX Inc alexnet
The errors were computed over 3 epochs, of which each has 20000 iterations. Both learning processes used the same local receptive fields and drop ratio. The two loss functions were associated with a large L2-norm weight decay constant 0.005 (larger than that used in <t>AlexNet</t> ), which has proved to be useful for improving generalization of neural networks . Under these settings, softmax and hinge respectively achieved 0.932 and 0.891 in validation accuracy.
Alexnet, supplied by RenderX Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/result/alexnet/product/RenderX Inc
Average 90 stars, based on 1 article reviews
alexnet - by Bioz Stars, 2026-06
90/100 stars
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alexnet architecture  (KNIME GmbH)
90
KNIME GmbH alexnet architecture
The errors were computed over 3 epochs, of which each has 20000 iterations. Both learning processes used the same local receptive fields and drop ratio. The two loss functions were associated with a large L2-norm weight decay constant 0.005 (larger than that used in <t>AlexNet</t> ), which has proved to be useful for improving generalization of neural networks . Under these settings, softmax and hinge respectively achieved 0.932 and 0.891 in validation accuracy.
Alexnet Architecture, supplied by KNIME GmbH, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/result/alexnet architecture/product/KNIME GmbH
Average 90 stars, based on 1 article reviews
alexnet architecture - by Bioz Stars, 2026-06
90/100 stars
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alexnet  (Cadx Systems Inc)
90
Cadx Systems Inc alexnet
Architecture of the <t>Convolutional</t> <t>Neural</t> <t>Network</t> <t>(CNN)</t> AlexNet.
Alexnet, supplied by Cadx Systems Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/result/alexnet/product/Cadx Systems Inc
Average 90 stars, based on 1 article reviews
alexnet - by Bioz Stars, 2026-06
90/100 stars
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dms-robust alexnet  (IEEE Access)
90
IEEE Access dms-robust alexnet
Architecture of the <t>Convolutional</t> <t>Neural</t> <t>Network</t> <t>(CNN)</t> AlexNet.
Dms Robust Alexnet, supplied by IEEE Access, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/result/dms-robust alexnet/product/IEEE Access
Average 90 stars, based on 1 article reviews
dms-robust alexnet - by Bioz Stars, 2026-06
90/100 stars
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alexnet  (SVision LLC)
90
SVision LLC alexnet
Architecture of the <t>Convolutional</t> <t>Neural</t> <t>Network</t> <t>(CNN)</t> AlexNet.
Alexnet, supplied by SVision LLC, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/result/alexnet/product/SVision LLC
Average 90 stars, based on 1 article reviews
alexnet - by Bioz Stars, 2026-06
90/100 stars
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alexnet model  (Terasic Inc)
90
Terasic Inc alexnet model
The accuracy comparison for <t>AlexNet</t> model.
Alexnet Model, supplied by Terasic Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/result/alexnet model/product/Terasic Inc
Average 90 stars, based on 1 article reviews
alexnet model - by Bioz Stars, 2026-06
90/100 stars
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alexnet  (CoMed GmbH)
90
CoMed GmbH alexnet
The accuracy comparison for <t>AlexNet</t> model.
Alexnet, supplied by CoMed GmbH, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/result/alexnet/product/CoMed GmbH
Average 90 stars, based on 1 article reviews
alexnet - by Bioz Stars, 2026-06
90/100 stars
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pretrained alexnet  (SoftMax Inc)
90
SoftMax Inc pretrained alexnet
The accuracy comparison for <t>AlexNet</t> model.
Pretrained Alexnet, supplied by SoftMax Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/result/pretrained alexnet/product/SoftMax Inc
Average 90 stars, based on 1 article reviews
pretrained alexnet - by Bioz Stars, 2026-06
90/100 stars
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Image Search Results


The errors were computed over 3 epochs, of which each has 20000 iterations. Both learning processes used the same local receptive fields and drop ratio. The two loss functions were associated with a large L2-norm weight decay constant 0.005 (larger than that used in AlexNet ), which has proved to be useful for improving generalization of neural networks . Under these settings, softmax and hinge respectively achieved 0.932 and 0.891 in validation accuracy.

Journal: Scientific Reports

Article Title: Localization and Classification of Paddy Field Pests using a Saliency Map and Deep Convolutional Neural Network

doi: 10.1038/srep20410

Figure Lengend Snippet: The errors were computed over 3 epochs, of which each has 20000 iterations. Both learning processes used the same local receptive fields and drop ratio. The two loss functions were associated with a large L2-norm weight decay constant 0.005 (larger than that used in AlexNet ), which has proved to be useful for improving generalization of neural networks . Under these settings, softmax and hinge respectively achieved 0.932 and 0.891 in validation accuracy.

Article Snippet: AlexNet , Softmax , 0.834.

Techniques: Biomarker Discovery

Comparison of DCNNs with other methods on the same dataset.

Journal: Scientific Reports

Article Title: Localization and Classification of Paddy Field Pests using a Saliency Map and Deep Convolutional Neural Network

doi: 10.1038/srep20410

Figure Lengend Snippet: Comparison of DCNNs with other methods on the same dataset.

Article Snippet: AlexNet , Softmax , 0.834.

Techniques: Comparison

Architecture of the Convolutional Neural Network (CNN) AlexNet.

Journal: Bioengineering

Article Title: EnsemDeepCADx: Empowering Colorectal Cancer Diagnosis with Mixed-Dataset Features and Ensemble Fusion CNNs on Evidence-Based CKHK-22 Dataset

doi: 10.3390/bioengineering10060738

Figure Lengend Snippet: Architecture of the Convolutional Neural Network (CNN) AlexNet.

Article Snippet: The feature fusion dataset is created by combining these features with the RGB features from the original dataset; The CADx system’s ensemble fusion CNNs consist of four pre-trained CNN models: AlexNet, DarkNet-19, DenseNet-201, and ResNet-50. aDaDR-22, aDaR-22, and DaRD-22 are combined in three ways to create a more robust and accurate CNN model.

Techniques:

The accuracy comparison for AlexNet model.

Journal: Computational Intelligence and Neuroscience

Article Title: Acceleration of Deep Neural Network Training Using Field Programmable Gate Arrays

doi: 10.1155/2022/8387364

Figure Lengend Snippet: The accuracy comparison for AlexNet model.

Article Snippet: It achieves 203.75 GOPS on Terasic DE1 SoC with the AlexNet model and 196.50 GOPS with the VGG-16 model on Terasic DE-SoC.

Techniques: Comparison