#convolutionalneuralnetworks resultados da pesquisa

📢 Highly Cited! “An Efficient Approach to #FaceEmotionRecognition with #ConvolutionalNeuralNetworks” 🔗mdpi.com/2079-9292/12/1… In this work, the authors propose a lightweight CNN-based method for face emotion recognition that balances accuracy and computational efficiency.

ElectronicsMDPI's tweet image. 📢 Highly Cited!

“An Efficient Approach to #FaceEmotionRecognition with #ConvolutionalNeuralNetworks”

🔗mdpi.com/2079-9292/12/1…

In this work, the authors propose a lightweight CNN-based method for face emotion recognition that balances accuracy and computational efficiency.

Ever said "Hey Siri!" and got an instant response? Thank a CNN for that! Discover more about how CNNs are shaping the future 👇 #ConvolutionalNeuralNetworks #DeepLearning #AI


✅Day 30 of #Deeplearning ▫️ Topic - Convolutional Neural Network 📝#ConvolutionalNeuralNetworks also known as convet, are a special kind of neural network for processing data that has a known grid-like topology like time series data(1D) or images(2D) A Complete 🧵

Sachintukumar's tweet image. ✅Day 30 of #Deeplearning 

▫️ Topic - Convolutional Neural Network

📝#ConvolutionalNeuralNetworks also known as convet, are a special kind of neural network for processing data that has a known grid-like topology like time series data(1D) or images(2D)

A Complete 🧵

Day 17 of #100DaysOfCode - CNN 🧠 - Image Classification 🖼️ - Keras 🧠 - Tensorflow 🦾 - Test Accuracy: 95.83% (getting there, a little over fit) #Python #ConvolutionalNeuralNetworks @TensorFlow #Keras #ImageClassification

fetterollie's tweet image. Day 17 of #100DaysOfCode 
- CNN 🧠
- Image Classification 🖼️
- Keras 🧠
- Tensorflow 🦾
- Test Accuracy: 95.83% (getting there, a little over fit)
#Python #ConvolutionalNeuralNetworks 
@TensorFlow
#Keras
#ImageClassification
fetterollie's tweet image. Day 17 of #100DaysOfCode 
- CNN 🧠
- Image Classification 🖼️
- Keras 🧠
- Tensorflow 🦾
- Test Accuracy: 95.83% (getting there, a little over fit)
#Python #ConvolutionalNeuralNetworks 
@TensorFlow
#Keras
#ImageClassification

#DeepLearning can be a complex & daunting field for newcomers. Concepts like hidden layers, #ConvolutionalNeuralNetworks, back propagation keep coming up as you try to grasp deep learning topics Use this framework to avoid stumbling around a foreign city like a tourist w/o a map!

ThiamMeka2Gogue's tweet image. #DeepLearning can be a complex & daunting field for newcomers. Concepts like hidden layers, #ConvolutionalNeuralNetworks, back propagation keep coming up as you try to grasp deep learning topics
Use this framework to avoid stumbling around a foreign city like a tourist w/o a map!

📚 Rotational Convolution Design in #ConvolutionalNeuralNetworks for Direct 3D #ElectromagneticTomography 🔗 mdpi.com/2076-3417/14/8… 👨‍🔬 by Pengfei Zhao and Ze Liu 🏫 @bjtu1896 #threedimensional #imagereconstruction

Applsci's tweet image. 📚 Rotational Convolution Design in #ConvolutionalNeuralNetworks for Direct 3D #ElectromagneticTomography
🔗 mdpi.com/2076-3417/14/8…
👨‍🔬 by Pengfei Zhao and Ze Liu
🏫 @bjtu1896
#threedimensional #imagereconstruction

When it comes to image recognition, there's no better way than with Convolutional Neural Networks (CNNs). #convolutionalneuralnetworks #techrevolution #artificialintelligence #computervision

TrailynVc's tweet image. When it comes to image recognition, there's no better way than with Convolutional Neural Networks (CNNs). #convolutionalneuralnetworks #techrevolution #artificialintelligence #computervision

Ease your workload by using Convolutional Neural Networks (CNNs) for complex visual imagery tasks. #visualtasksmadeeasy #smarttools #convolutionalneuralnetworks #efficiencyboost

TrailynVc's tweet image. Ease your workload by using Convolutional Neural Networks (CNNs) for complex visual imagery tasks. #visualtasksmadeeasy #smarttools #convolutionalneuralnetworks #efficiencyboost

A glimpse of my #handsonsession on '#NeuralNetworks' and '#ConvolutionalNeuralNetworks' on the eve of the #FacultyDevelopmentProgram (#FDP) on Neural Network, Deep Learning, NLP, & Transformers organized by the #SrustiAcademyOfManagementAndTechnology (Autonomous) on Mar 23.

sabyasachi_uni's tweet image. A glimpse of my #handsonsession on '#NeuralNetworks' and '#ConvolutionalNeuralNetworks' on the eve of the #FacultyDevelopmentProgram (#FDP) on Neural Network, Deep Learning, NLP, & Transformers organized by the #SrustiAcademyOfManagementAndTechnology (Autonomous) on Mar 23.

Ever wondered how machines see the world? This video breaks down Convolutional Neural Networks (CNN) in under 3 minutes. Check out the link in the comments to learn how to use CNN in a project! #convolutionalneuralnetworks #datascience #datasciencecourse #ibm #stemeducation


🍅🍅 Comparison of Classic Classifiers, Metaheuristic Algorithms and #ConvolutionalNeuralNetworks in #Hyperspectral Classification of #Nitrogen Treatment in #Tomato Leaves ✍️ Brahim Benmouna et al. 🔗 brnw.ch/21wOj0u

RemoteSens_MDPI's tweet image. 🍅🍅 Comparison of Classic Classifiers, Metaheuristic Algorithms and #ConvolutionalNeuralNetworks in #Hyperspectral Classification of #Nitrogen Treatment in #Tomato Leaves

✍️ Brahim Benmouna et al.

🔗 brnw.ch/21wOj0u

🔥 Read our Highly Cited Paper 📚Stable Low-Rank CP #Decomposition for Compression of Convolutional Neural Networks Based on Sensitivity 🔗mdpi.com/2076-3417/14/4… 👨‍🔬by Chenbin Yang and Huiyi Liu 🏫Hohai University #convolutionalneuralnetworks #modelcompression

Applsci's tweet image. 🔥 Read our Highly Cited Paper
📚Stable Low-Rank CP #Decomposition for Compression of Convolutional Neural Networks Based on Sensitivity
🔗mdpi.com/2076-3417/14/4…
👨‍🔬by Chenbin Yang and Huiyi Liu
🏫Hohai University
#convolutionalneuralnetworks #modelcompression

#CCSAM: Achieving Superior #MedicalImage Segmentation with 85.20 Dice Score & 27.10 Hausdorff Distance Using #ConvolutionalNeuralNetworks & #ViT Integration #CNN #VisionTransformer #DeepLearning #DL buff.ly/4dvJxwB

andresvilarino's tweet image. #CCSAM: Achieving Superior #MedicalImage Segmentation with 85.20 Dice Score & 27.10 Hausdorff Distance Using #ConvolutionalNeuralNetworks & #ViT Integration

#CNN #VisionTransformer #DeepLearning #DL

buff.ly/4dvJxwB

If you want to create your own classification model using hugging face, you can refer to this guided project. Read the full article: Hugging face transformer : A game changer in Image classification ▸ lttr.ai/AN9Zt #PreTrainedModel #ConvolutionalNeuralNetworks

CognitiveClass's tweet image. If you want to create your own classification model using hugging face, you can refer to this guided project.

Read the full article: Hugging face transformer : A game changer in Image classification
▸ lttr.ai/AN9Zt

#PreTrainedModel #ConvolutionalNeuralNetworks

🔔 REVIEW article: Kaul & Kumari present a comprehensive review of published research articles which make use of #ConvolutionalNeuralNetworks in remote sensing scene categorization. 🔗 doi.org/10.1080/014311… #IJRS #RemoteSensing #DeepLearning #MachineLearning #NeuralNetworks

IJRemoteSensing's tweet image. 🔔 REVIEW article: 

Kaul & Kumari present a comprehensive review of published research articles which make use of #ConvolutionalNeuralNetworks in remote sensing scene categorization.

🔗 doi.org/10.1080/014311…

#IJRS #RemoteSensing #DeepLearning #MachineLearning #NeuralNetworks

🌲#Forests🌲High-Cited Paper in 2021🌈 "Using U-Net-Like Deep #ConvolutionalNeuralNetworks for Precise #TreeRecognition in Very High Resolution RGB (Red, Green, Blue) #Satellite Images", by Kirill A. Korznikov et al.🎉 📚Read more here👉 mdpi.com/1999-4907/12/1… 🌳#machinelearning

Forests_MDPI's tweet image. 🌲#Forests🌲High-Cited Paper in 2021🌈
"Using U-Net-Like Deep #ConvolutionalNeuralNetworks for Precise #TreeRecognition in Very High Resolution RGB (Red, Green, Blue) #Satellite Images", by Kirill A. Korznikov et al.🎉
📚Read more here👉
mdpi.com/1999-4907/12/1…
🌳#machinelearning

Our new J.UCS issue is out today!🎉 lib.jucs.org/issue/5178/ It features a bibliometric retrospective on 30 years of J.UCS. Plus, 5 more articles exploring #convolutionalneuralnetworks, #NLP, #metaprogramming, #anomalyprevention and #GeneticAlgorithms.🌍✨Photo: Christian Trummer

jucsnews's tweet image. Our new J.UCS issue is out today!🎉 lib.jucs.org/issue/5178/ It features a bibliometric retrospective on 30 years of J.UCS. Plus, 5 more articles exploring #convolutionalneuralnetworks, #NLP, #metaprogramming, #anomalyprevention and #GeneticAlgorithms.🌍✨Photo: Christian Trummer

Nenhum resultado para "#convolutionalneuralnetworks"

📢 Highly Cited! “An Efficient Approach to #FaceEmotionRecognition with #ConvolutionalNeuralNetworks” 🔗mdpi.com/2079-9292/12/1… In this work, the authors propose a lightweight CNN-based method for face emotion recognition that balances accuracy and computational efficiency.

ElectronicsMDPI's tweet image. 📢 Highly Cited!

“An Efficient Approach to #FaceEmotionRecognition with #ConvolutionalNeuralNetworks”

🔗mdpi.com/2079-9292/12/1…

In this work, the authors propose a lightweight CNN-based method for face emotion recognition that balances accuracy and computational efficiency.

Day 22 of #100DaysOfCode - CNN 🧠 - Image Classification 🖼️ - Keras 🧠 - Tensorflow 🦾 #Python #ConvolutionalNeuralNetworks @TensorFlow #Keras #ImageClassification

fetterollie's tweet image. Day 22 of #100DaysOfCode 
- CNN 🧠
- Image Classification 🖼️
- Keras 🧠
- Tensorflow 🦾
#Python 
#ConvolutionalNeuralNetworks 
@TensorFlow
#Keras
#ImageClassification
fetterollie's tweet image. Day 22 of #100DaysOfCode 
- CNN 🧠
- Image Classification 🖼️
- Keras 🧠
- Tensorflow 🦾
#Python 
#ConvolutionalNeuralNetworks 
@TensorFlow
#Keras
#ImageClassification
fetterollie's tweet image. Day 22 of #100DaysOfCode 
- CNN 🧠
- Image Classification 🖼️
- Keras 🧠
- Tensorflow 🦾
#Python 
#ConvolutionalNeuralNetworks 
@TensorFlow
#Keras
#ImageClassification

Day 17 of #100DaysOfCode - CNN 🧠 - Image Classification 🖼️ - Keras 🧠 - Tensorflow 🦾 - Test Accuracy: 95.83% (getting there, a little over fit) #Python #ConvolutionalNeuralNetworks @TensorFlow #Keras #ImageClassification

fetterollie's tweet image. Day 17 of #100DaysOfCode 
- CNN 🧠
- Image Classification 🖼️
- Keras 🧠
- Tensorflow 🦾
- Test Accuracy: 95.83% (getting there, a little over fit)
#Python #ConvolutionalNeuralNetworks 
@TensorFlow
#Keras
#ImageClassification
fetterollie's tweet image. Day 17 of #100DaysOfCode 
- CNN 🧠
- Image Classification 🖼️
- Keras 🧠
- Tensorflow 🦾
- Test Accuracy: 95.83% (getting there, a little over fit)
#Python #ConvolutionalNeuralNetworks 
@TensorFlow
#Keras
#ImageClassification

📚 Thermal Threat Monitoring Using #ThermalImage Analysis and #ConvolutionalNeuralNetworks 🔗 mdpi.com/2076-3417/14/1… 👨‍🔬 by Mariusz Marzec and Sławomir Wilczyński 🏫 @USinKatowice / @SumKatowice #thermovisioncameras #imagesegmentation #imageanalysis #deeplearning

Applsci's tweet image. 📚 Thermal Threat Monitoring Using #ThermalImage Analysis and #ConvolutionalNeuralNetworks
🔗 mdpi.com/2076-3417/14/1…
👨‍🔬 by Mariusz Marzec and Sławomir Wilczyński
🏫 @USinKatowice / @SumKatowice
#thermovisioncameras #imagesegmentation #imageanalysis #deeplearning

A glimpse of my #handsonsession on '#NeuralNetworks' and '#ConvolutionalNeuralNetworks' on the eve of the #FacultyDevelopmentProgram (#FDP) on Neural Network, Deep Learning, NLP, & Transformers organized by the #SrustiAcademyOfManagementAndTechnology (Autonomous) on Mar 23.

sabyasachi_uni's tweet image. A glimpse of my #handsonsession on '#NeuralNetworks' and '#ConvolutionalNeuralNetworks' on the eve of the #FacultyDevelopmentProgram (#FDP) on Neural Network, Deep Learning, NLP, & Transformers organized by the #SrustiAcademyOfManagementAndTechnology (Autonomous) on Mar 23.

#mostdownloaded 📢 A Comparative Study of #ConvolutionalNeuralNetworks and Conventional #MachineLearning Models for #LithologicalMapping Using #RemoteSensing Data by Hojat Shirmard, Ehsan Farahbakhsh, Elnaz Heidari, Amin Beiranvand Pour et al. 🔗mdpi.com/2072-4292/14/4…

RemoteSens_MDPI's tweet image. #mostdownloaded 
📢 A Comparative Study of #ConvolutionalNeuralNetworks and Conventional #MachineLearning Models for #LithologicalMapping Using #RemoteSensing Data by Hojat Shirmard, Ehsan Farahbakhsh, Elnaz Heidari, Amin Beiranvand Pour et al.
🔗mdpi.com/2072-4292/14/4…

📚 Rotational Convolution Design in #ConvolutionalNeuralNetworks for Direct 3D #ElectromagneticTomography 🔗 mdpi.com/2076-3417/14/8… 👨‍🔬 by Pengfei Zhao and Ze Liu 🏫 @bjtu1896 #threedimensional #imagereconstruction

Applsci's tweet image. 📚 Rotational Convolution Design in #ConvolutionalNeuralNetworks for Direct 3D #ElectromagneticTomography
🔗 mdpi.com/2076-3417/14/8…
👨‍🔬 by Pengfei Zhao and Ze Liu
🏫 @bjtu1896
#threedimensional #imagereconstruction

When it comes to image recognition, there's no better way than with Convolutional Neural Networks (CNNs). #convolutionalneuralnetworks #techrevolution #artificialintelligence #computervision

TrailynVc's tweet image. When it comes to image recognition, there's no better way than with Convolutional Neural Networks (CNNs). #convolutionalneuralnetworks #techrevolution #artificialintelligence #computervision

Ease your workload by using Convolutional Neural Networks (CNNs) for complex visual imagery tasks. #visualtasksmadeeasy #smarttools #convolutionalneuralnetworks #efficiencyboost

TrailynVc's tweet image. Ease your workload by using Convolutional Neural Networks (CNNs) for complex visual imagery tasks. #visualtasksmadeeasy #smarttools #convolutionalneuralnetworks #efficiencyboost

🍅🍅 Comparison of Classic Classifiers, Metaheuristic Algorithms and #ConvolutionalNeuralNetworks in #Hyperspectral Classification of #Nitrogen Treatment in #Tomato Leaves ✍️ Brahim Benmouna et al. 🔗 brnw.ch/21wOj0u

RemoteSens_MDPI's tweet image. 🍅🍅 Comparison of Classic Classifiers, Metaheuristic Algorithms and #ConvolutionalNeuralNetworks in #Hyperspectral Classification of #Nitrogen Treatment in #Tomato Leaves

✍️ Brahim Benmouna et al.

🔗 brnw.ch/21wOj0u

🌲#Forests🌲High-Cited Paper in 2021🌈 "Using U-Net-Like Deep #ConvolutionalNeuralNetworks for Precise #TreeRecognition in Very High Resolution RGB (Red, Green, Blue) #Satellite Images", by Kirill A. Korznikov et al.🎉 📚Read more here👉 mdpi.com/1999-4907/12/1… 🌳#machinelearning

Forests_MDPI's tweet image. 🌲#Forests🌲High-Cited Paper in 2021🌈
"Using U-Net-Like Deep #ConvolutionalNeuralNetworks for Precise #TreeRecognition in Very High Resolution RGB (Red, Green, Blue) #Satellite Images", by Kirill A. Korznikov et al.🎉
📚Read more here👉
mdpi.com/1999-4907/12/1…
🌳#machinelearning

#AgricultureMdpi-2022 High Cited Paper Title: A Lightweight Attention-Based Convolutional Neural Networks for Tomato Leaf Disease Classification Authors: Anil Bhujel et al. Link: doi.org/10.3390/agricu… #attentionmodule #convolutionalneuralnetworks #lightweightnetwork

AgricultureMdpi's tweet image. #AgricultureMdpi-2022 High Cited Paper
Title: A Lightweight Attention-Based Convolutional Neural Networks for Tomato Leaf Disease Classification
Authors: Anil Bhujel et al.

Link: doi.org/10.3390/agricu…
#attentionmodule #convolutionalneuralnetworks #lightweightnetwork

#AgricultureMdpi - 2022 Highly Cited Paper Title: Deep-Learning Approach for Fusarium Head Blight Detection in Wheat Seeds Using Low-Cost Imaging Technology Authors: Rodrigo Cupertino Bernardes et al. Link: doi.org/10.3390/agricu… #seedquality #convolutionalneuralnetworks

AgricultureMdpi's tweet image. #AgricultureMdpi - 2022 Highly Cited Paper
Title: Deep-Learning Approach for Fusarium Head Blight Detection in Wheat Seeds Using Low-Cost Imaging Technology
Authors: Rodrigo Cupertino Bernardes et al.

Link: doi.org/10.3390/agricu…
#seedquality #convolutionalneuralnetworks

#latestpaper 📢 Deep #ResUNet #ConvolutionalNeuralNetworks Segmentation for Smallholder Paddy Rice Mapping Using #Sentinel1 #SAR and #Sentinel2 #OpticalImagery by Alex Okiemute Onojeghuo, Yuxin Miao and George Alan Blackburn  🔗 Read the full article: mdpi.com/2072-4292/15/6…

RemoteSens_MDPI's tweet image. #latestpaper 
📢 Deep #ResUNet #ConvolutionalNeuralNetworks Segmentation for Smallholder Paddy Rice Mapping Using #Sentinel1 #SAR and #Sentinel2 #OpticalImagery
by Alex Okiemute Onojeghuo, Yuxin Miao and George Alan Blackburn 
🔗 Read the full article: mdpi.com/2072-4292/15/6…

Describing speaker’s #emotionrecognition based on several #acousticfeature types and 1D #convolutionalneuralnetworks: “Gender-aware speaker's emotion recognition based on 1-D and 2-D features“ by W. Kasprzak, M. Hryciów. ACSIS Vol. 35 p. 1011–1015; tinyurl.com/49z2mwd8

annals_csis's tweet image. Describing speaker’s #emotionrecognition based on several #acousticfeature types and 1D #convolutionalneuralnetworks: “Gender-aware speaker's emotion recognition based on 1-D and 2-D features“ by W. Kasprzak, M. Hryciów. ACSIS Vol. 35 p. 1011–1015; tinyurl.com/49z2mwd8

🔥 Read our Highly Cited Paper 📚Stable Low-Rank CP #Decomposition for Compression of Convolutional Neural Networks Based on Sensitivity 🔗mdpi.com/2076-3417/14/4… 👨‍🔬by Chenbin Yang and Huiyi Liu 🏫Hohai University #convolutionalneuralnetworks #modelcompression

Applsci's tweet image. 🔥 Read our Highly Cited Paper
📚Stable Low-Rank CP #Decomposition for Compression of Convolutional Neural Networks Based on Sensitivity
🔗mdpi.com/2076-3417/14/4…
👨‍🔬by Chenbin Yang and Huiyi Liu
🏫Hohai University
#convolutionalneuralnetworks #modelcompression

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