cnn with softmax activation output layer Search Results


90
SoftMax Inc hybrid cnn-rnn
Hybrid Cnn Rnn, 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
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hybrid cnn-rnn - by Bioz Stars, 2026-08
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SoftMax Inc convolutional neural network
Comparison of the proposed <t> CNN </t> model with other works in terms of accuracy of the recognition rate.
Convolutional Neural Network, 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/product/cnn+with+softmax+activation+output+layer/pmc07959630-317-3-20?v=SoftMax+Inc
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convolutional neural network - by Bioz Stars, 2026-08
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SoftMax Inc cnn algorithm
Comparison of the proposed <t> CNN </t> model with other works in terms of accuracy of the recognition rate.
Cnn Algorithm, 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
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Average 90 stars, based on 1 article reviews
cnn algorithm - by Bioz Stars, 2026-08
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SoftMax Inc cnn-softmax
Comparison of the proposed <t> CNN </t> model with other works in terms of accuracy of the recognition rate.
Cnn 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/product/cnn+with+softmax+activation+output+layer/pm36230054-38-9-35?v=SoftMax+Inc
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cnn-softmax - by Bioz Stars, 2026-08
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SoftMax Inc 2d-cnn
Comparison of the proposed <t> CNN </t> model with other works in terms of accuracy of the recognition rate.
2d Cnn, 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
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2d-cnn - by Bioz Stars, 2026-08
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SoftMax Inc cnn 3 conv per 2 fc per 2-3 out
Comparison of the proposed <t> CNN </t> model with other works in terms of accuracy of the recognition rate.
Cnn 3 Conv Per 2 Fc Per 2 3 Out, 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/product/cnn+with+softmax+activation+output+layer/pm30808014-378-69-83?v=SoftMax+Inc
Average 90 stars, based on 1 article reviews
cnn 3 conv per 2 fc per 2-3 out - by Bioz Stars, 2026-08
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SoftMax Inc ahcd proposed dataset
A summary of related work on handwritten Arabic character recognition for adult writers.
Ahcd Proposed Dataset, 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
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ahcd proposed dataset - by Bioz Stars, 2026-08
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SoftMax Inc softmax (fc)
A summary of related work on handwritten Arabic character recognition for adult writers.
Softmax (Fc), 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
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Average 90 stars, based on 1 article reviews
softmax (fc) - by Bioz Stars, 2026-08
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SoftMax Inc w-softmax(α=0.5)
A summary of related work on handwritten Arabic character recognition for adult writers.
W Softmax(α=0.5), 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
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Average 90 stars, based on 1 article reviews
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SoftMax Inc cnn with inception block
A summary of related work on handwritten Arabic character recognition for adult writers.
Cnn With Inception Block, 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
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SoftMax Inc cnn model resnet50
A summary of related work on handwritten Arabic character recognition for adult writers.
Cnn Model Resnet50, 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
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SoftMax Inc cnn-lstm
A summary of related work on handwritten Arabic character recognition for adult writers.
Cnn Lstm, 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
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Image Search Results


Comparison of the proposed  CNN  model with other works in terms of accuracy of the recognition rate.

Journal: PeerJ Computer Science

Article Title: An efficient multi-factor authentication scheme based CNNs for securing ATMs over cognitive-IoT

doi: 10.7717/peerj-cs.381

Figure Lengend Snippet: Comparison of the proposed CNN model with other works in terms of accuracy of the recognition rate.

Article Snippet: Iris recognition using deep Convolutional Neural Network (CNN) as a feature extractor and fully connected neural network (FCNN), with the Softmax layer as a classifier, is presented.

Techniques: Comparison, Extraction, Isolation

A summary of related work on handwritten Arabic character recognition for adult writers.

Journal: Sensors (Basel, Switzerland)

Article Title: Deep Learning-Based Child Handwritten Arabic Character Recognition and Handwriting Discrimination

doi: 10.3390/s23156774

Figure Lengend Snippet: A summary of related work on handwritten Arabic character recognition for adult writers.

Article Snippet: [ ] , 2021 , CNN , Softmax , AHCD Proposed dataset Hijja MNIST , Characters Characters Characters Digits , 16,800 38,100 47,434 70,000 , 99% 95.4% 90% 99%.

Techniques:

A summary of related work on handwritten Arabic character recognition for child writers.

Journal: Sensors (Basel, Switzerland)

Article Title: Deep Learning-Based Child Handwritten Arabic Character Recognition and Handwriting Discrimination

doi: 10.3390/s23156774

Figure Lengend Snippet: A summary of related work on handwritten Arabic character recognition for child writers.

Article Snippet: [ ] , 2021 , CNN , Softmax , AHCD Proposed dataset Hijja MNIST , Characters Characters Characters Digits , 16,800 38,100 47,434 70,000 , 99% 95.4% 90% 99%.

Techniques:

Description of the used datasets.

Journal: Sensors (Basel, Switzerland)

Article Title: Deep Learning-Based Child Handwritten Arabic Character Recognition and Handwriting Discrimination

doi: 10.3390/s23156774

Figure Lengend Snippet: Description of the used datasets.

Article Snippet: [ ] , 2021 , CNN , Softmax , AHCD Proposed dataset Hijja MNIST , Characters Characters Characters Digits , 16,800 38,100 47,434 70,000 , 99% 95.4% 90% 99%.

Techniques: Isolation

Some preprocessed Hijja and AHCD character data samples: ( a ) Child writers’ samples; ( b ) Adult writers’ samples.

Journal: Sensors (Basel, Switzerland)

Article Title: Deep Learning-Based Child Handwritten Arabic Character Recognition and Handwriting Discrimination

doi: 10.3390/s23156774

Figure Lengend Snippet: Some preprocessed Hijja and AHCD character data samples: ( a ) Child writers’ samples; ( b ) Adult writers’ samples.

Article Snippet: [ ] , 2021 , CNN , Softmax , AHCD Proposed dataset Hijja MNIST , Characters Characters Characters Digits , 16,800 38,100 47,434 70,000 , 99% 95.4% 90% 99%.

Techniques:

An overview of conducted experimental work.

Journal: Sensors (Basel, Switzerland)

Article Title: Deep Learning-Based Child Handwritten Arabic Character Recognition and Handwriting Discrimination

doi: 10.3390/s23156774

Figure Lengend Snippet: An overview of conducted experimental work.

Article Snippet: [ ] , 2021 , CNN , Softmax , AHCD Proposed dataset Hijja MNIST , Characters Characters Characters Digits , 16,800 38,100 47,434 70,000 , 99% 95.4% 90% 99%.

Techniques:

Statistics of the used datasets.

Journal: Sensors (Basel, Switzerland)

Article Title: Deep Learning-Based Child Handwritten Arabic Character Recognition and Handwriting Discrimination

doi: 10.3390/s23156774

Figure Lengend Snippet: Statistics of the used datasets.

Article Snippet: [ ] , 2021 , CNN , Softmax , AHCD Proposed dataset Hijja MNIST , Characters Characters Characters Digits , 16,800 38,100 47,434 70,000 , 99% 95.4% 90% 99%.

Techniques: Biomarker Discovery

Child character recognition results of Experiment 1, using  Hijja  for training and testing.

Journal: Sensors (Basel, Switzerland)

Article Title: Deep Learning-Based Child Handwritten Arabic Character Recognition and Handwriting Discrimination

doi: 10.3390/s23156774

Figure Lengend Snippet: Child character recognition results of Experiment 1, using Hijja for training and testing.

Article Snippet: [ ] , 2021 , CNN , Softmax , AHCD Proposed dataset Hijja MNIST , Characters Characters Characters Digits , 16,800 38,100 47,434 70,000 , 99% 95.4% 90% 99%.

Techniques:

Child character recognition results of Experiment 2, using  AHCD  for training and  Hijja  for testing.

Journal: Sensors (Basel, Switzerland)

Article Title: Deep Learning-Based Child Handwritten Arabic Character Recognition and Handwriting Discrimination

doi: 10.3390/s23156774

Figure Lengend Snippet: Child character recognition results of Experiment 2, using AHCD for training and Hijja for testing.

Article Snippet: [ ] , 2021 , CNN , Softmax , AHCD Proposed dataset Hijja MNIST , Characters Characters Characters Digits , 16,800 38,100 47,434 70,000 , 99% 95.4% 90% 99%.

Techniques:

Child character recognition results of Experiment 3, using combined  Hijja  and  AHCD  for training and  Hijja  for testing.

Journal: Sensors (Basel, Switzerland)

Article Title: Deep Learning-Based Child Handwritten Arabic Character Recognition and Handwriting Discrimination

doi: 10.3390/s23156774

Figure Lengend Snippet: Child character recognition results of Experiment 3, using combined Hijja and AHCD for training and Hijja for testing.

Article Snippet: [ ] , 2021 , CNN , Softmax , AHCD Proposed dataset Hijja MNIST , Characters Characters Characters Digits , 16,800 38,100 47,434 70,000 , 99% 95.4% 90% 99%.

Techniques:

Writer-group classification performance of Experiment 4, without supplementary features using combined  Hijja  and  AHCD  for training and testing.

Journal: Sensors (Basel, Switzerland)

Article Title: Deep Learning-Based Child Handwritten Arabic Character Recognition and Handwriting Discrimination

doi: 10.3390/s23156774

Figure Lengend Snippet: Writer-group classification performance of Experiment 4, without supplementary features using combined Hijja and AHCD for training and testing.

Article Snippet: [ ] , 2021 , CNN , Softmax , AHCD Proposed dataset Hijja MNIST , Characters Characters Characters Digits , 16,800 38,100 47,434 70,000 , 99% 95.4% 90% 99%.

Techniques:

Writer-group classification performance of Experiment 5, with supplementary features using combined  Hijja  and  AHCD  for training and testing.

Journal: Sensors (Basel, Switzerland)

Article Title: Deep Learning-Based Child Handwritten Arabic Character Recognition and Handwriting Discrimination

doi: 10.3390/s23156774

Figure Lengend Snippet: Writer-group classification performance of Experiment 5, with supplementary features using combined Hijja and AHCD for training and testing.

Article Snippet: [ ] , 2021 , CNN , Softmax , AHCD Proposed dataset Hijja MNIST , Characters Characters Characters Digits , 16,800 38,100 47,434 70,000 , 99% 95.4% 90% 99%.

Techniques:

Comparison between our proposed methodology and current approaches in the literature.

Journal: Sensors (Basel, Switzerland)

Article Title: Deep Learning-Based Child Handwritten Arabic Character Recognition and Handwriting Discrimination

doi: 10.3390/s23156774

Figure Lengend Snippet: Comparison between our proposed methodology and current approaches in the literature.

Article Snippet: [ ] , 2021 , CNN , Softmax , AHCD Proposed dataset Hijja MNIST , Characters Characters Characters Digits , 16,800 38,100 47,434 70,000 , 99% 95.4% 90% 99%.

Techniques: Comparison, Extraction