cnn with softmax activation output layer Search Results


cnn 3 conv per 2 fc per 2-3 out  (SoftMax Inc)
90
SoftMax Inc cnn 3 conv per 2 fc per 2-3 out
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/result/cnn 3 conv per 2 fc per 2-3 out/product/SoftMax Inc
Average 90 stars, based on 1 article reviews
cnn 3 conv per 2 fc per 2-3 out - by Bioz Stars, 2026-04
90/100 stars
  Buy from Supplier
hybrid cnn-rnn  (SoftMax Inc)
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
https://www.bioz.com/result/hybrid cnn-rnn/product/SoftMax Inc
Average 90 stars, based on 1 article reviews
hybrid cnn-rnn - by Bioz Stars, 2026-04
90/100 stars
  Buy from Supplier
cnn-softmax  (SoftMax Inc)
90
SoftMax Inc cnn-softmax
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/result/cnn-softmax/product/SoftMax Inc
Average 90 stars, based on 1 article reviews
cnn-softmax - by Bioz Stars, 2026-04
90/100 stars
  Buy from Supplier
convolutional neural network  (SoftMax Inc)
90
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/result/convolutional neural network/product/SoftMax Inc
Average 90 stars, based on 1 article reviews
convolutional neural network - by Bioz Stars, 2026-04
90/100 stars
  Buy from Supplier
2d-cnn  (SoftMax Inc)
90
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
https://www.bioz.com/result/2d-cnn/product/SoftMax Inc
Average 90 stars, based on 1 article reviews
2d-cnn - by Bioz Stars, 2026-04
90/100 stars
  Buy from Supplier
cnn algorithm  (SoftMax Inc)
90
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
https://www.bioz.com/result/cnn algorithm/product/SoftMax Inc
Average 90 stars, based on 1 article reviews
cnn algorithm - by Bioz Stars, 2026-04
90/100 stars
  Buy from Supplier
softmax (fc)  (SoftMax Inc)
90
SoftMax Inc softmax (fc)
Comparison of the proposed <t> CNN </t> model with other works in terms of accuracy of the recognition rate.
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
https://www.bioz.com/result/softmax (fc)/product/SoftMax Inc
Average 90 stars, based on 1 article reviews
softmax (fc) - by Bioz Stars, 2026-04
90/100 stars
  Buy from Supplier
w-softmax(α=0.5)  (SoftMax Inc)
90
SoftMax Inc w-softmax(α=0.5)
Comparison of the proposed <t> CNN </t> model with other works in terms of accuracy of the recognition rate.
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
https://www.bioz.com/result/w-softmax(α=0.5)/product/SoftMax Inc
Average 90 stars, based on 1 article reviews
w-softmax(α=0.5) - by Bioz Stars, 2026-04
90/100 stars
  Buy from Supplier
ahcd proposed dataset  (SoftMax Inc)
90
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
https://www.bioz.com/result/ahcd proposed dataset/product/SoftMax Inc
Average 90 stars, based on 1 article reviews
ahcd proposed dataset - by Bioz Stars, 2026-04
90/100 stars
  Buy from Supplier
cnn-ae  (SoftMax Inc)
90
SoftMax Inc cnn-ae
A synopsis of DL techniques used in epilepsy detection automation
Cnn Ae, 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/cnn-ae/product/SoftMax Inc
Average 90 stars, based on 1 article reviews
cnn-ae - by Bioz Stars, 2026-04
90/100 stars
  Buy from Supplier
dl-based cnn with ml-based algorithms (softmax)  (SoftMax Inc)
90
SoftMax Inc dl-based cnn with ml-based algorithms (softmax)
A synopsis of DL techniques used in epilepsy detection automation
Dl Based Cnn With Ml Based Algorithms (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/dl-based cnn with ml-based algorithms (softmax)/product/SoftMax Inc
Average 90 stars, based on 1 article reviews
dl-based cnn with ml-based algorithms (softmax) - by Bioz Stars, 2026-04
90/100 stars
  Buy from Supplier
cnn-lstm  (SoftMax Inc)
90
SoftMax Inc cnn-lstm
A synopsis of DL techniques used in epilepsy detection automation
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
https://www.bioz.com/result/cnn-lstm/product/SoftMax Inc
Average 90 stars, based on 1 article reviews
cnn-lstm - by Bioz Stars, 2026-04
90/100 stars
  Buy from Supplier

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

A synopsis of DL techniques used in epilepsy detection automation

Journal: The Journal of Supercomputing

Article Title: An overview of machine learning methods in enabling IoMT-based epileptic seizure detection

doi: 10.1007/s11227-023-05299-9

Figure Lengend Snippet: A synopsis of DL techniques used in epilepsy detection automation

Article Snippet: [ ] , 2021 , Bonn , CNN-AE , Softmax , Accuracy , 99.53%.

Techniques: