LAOMUSIC ARTS 2026
presents
I just finished the course “Deep Learning with Python: Convolutional Neural Networks” by Frederick Nwanganga!
Check it out:
www.linkedin.com/learning/dee...
#lao #music #arts #laomusic #laomusicarts #ai #python #convolutionalneuralnetworks #deeplearning
presents
I just finished the course “Deep Learning with Python: Convolutional Neural Networks” by Frederick Nwanganga!
Check it out:
www.linkedin.com/learning/dee...
#lao #music #arts #laomusic #laomusicarts #ai #python #convolutionalneuralnetworks #deeplearning
April 8, 2026 at 8:49 AM
LAOMUSIC ARTS 2026
presents
I just finished the course “Deep Learning with Python: Convolutional Neural Networks” by Frederick Nwanganga!
Check it out:
www.linkedin.com/learning/dee...
#lao #music #arts #laomusic #laomusicarts #ai #python #convolutionalneuralnetworks #deeplearning
presents
I just finished the course “Deep Learning with Python: Convolutional Neural Networks” by Frederick Nwanganga!
Check it out:
www.linkedin.com/learning/dee...
#lao #music #arts #laomusic #laomusicarts #ai #python #convolutionalneuralnetworks #deeplearning
Meta’s star AI scientist Yann LeCun plans to leave for own startup https://arstechni.ca... #convolutionalneuralnetworks #FundamentalAIResearch #largelanguagemodels #AIdevelopmenttools #NewYorkUniversity #AIinfrastructure #machinelearning #MarkZuckerberg #AlexandrWang #deeplearning #AIalignment…
November 12, 2025 at 6:00 PM
Meta’s star AI scientist Yann LeCun plans to leave for own startup https://arstechni.ca... #convolutionalneuralnetworks #FundamentalAIResearch #largelanguagemodels #AIdevelopmenttools #NewYorkUniversity #AIinfrastructure #machinelearning #MarkZuckerberg #AlexandrWang #deeplearning #AIalignment…
Before caffeine, my brain works just like a beginner AI. Mostly confused. Always scanning.
A short (fun) article on computer vision.
open.substack.com/pub/dianawol...
#computervision #aivision #aiexplained #ConvolutionalNeuralNetworks #alexnet #convolution
A short (fun) article on computer vision.
open.substack.com/pub/dianawol...
#computervision #aivision #aiexplained #ConvolutionalNeuralNetworks #alexnet #convolution
December 7, 2025 at 7:39 AM
Before caffeine, my brain works just like a beginner AI. Mostly confused. Always scanning.
A short (fun) article on computer vision.
open.substack.com/pub/dianawol...
#computervision #aivision #aiexplained #ConvolutionalNeuralNetworks #alexnet #convolution
A short (fun) article on computer vision.
open.substack.com/pub/dianawol...
#computervision #aivision #aiexplained #ConvolutionalNeuralNetworks #alexnet #convolution
#ConvolutionalNeuralNetworks ( #CNNs in short) are immensely useful for many #imageProcessing tasks and much more in #DeepLearning.
Yet you sometimes encounter some bits of code with little explanation. Have you ever wondered about the origins of the values for image normalization in #imagenet ?
Yet you sometimes encounter some bits of code with little explanation. Have you ever wondered about the origins of the values for image normalization in #imagenet ?
January 5, 2025 at 11:13 PM
#ConvolutionalNeuralNetworks ( #CNNs in short) are immensely useful for many #imageProcessing tasks and much more in #DeepLearning.
Yet you sometimes encounter some bits of code with little explanation. Have you ever wondered about the origins of the values for image normalization in #imagenet ?
Yet you sometimes encounter some bits of code with little explanation. Have you ever wondered about the origins of the values for image normalization in #imagenet ?
Understanding Neural Networks: A Beginner's Guide #hiddenlayers #machinelearningmodels #convolutionalneuralnetworks #backpropagationsimpleexplanation #deeplearningexplained #recurrentneuralnetworks #artificialneurons #activationfunctions #artificialintelligencebasics #neuralnetworktraining
Understanding Neural Networks: A Beginner's Guide
The Brains Behind the Buzz: A No-Nonsense Guide to Understanding Neural Networks You hear the terms all the time. Artificial intelligence. Machine learning. Deep learning. They're behind the Netflix shows…
jivoice.com
October 22, 2025 at 8:49 AM
Understanding Neural Networks: A Beginner's Guide #hiddenlayers #machinelearningmodels #convolutionalneuralnetworks #backpropagationsimpleexplanation #deeplearningexplained #recurrentneuralnetworks #artificialneurons #activationfunctions #artificialintelligencebasics #neuralnetworktraining
Understanding Neural Networks: A Simple Guide for 2024 #feedforwardneuralnetwork #artificialintelligencebasics #recurrentneuralnetworks #activationfunctions #neuralnetworklayers #AIforbeginners #typesofneuralnetworks #convolutionalneuralnetworks #machinelearningmodels #backpropagationexplained
Understanding Neural Networks: A Simple Guide for 2024
The Brains Behind the Buzz: A No-Nonsense Guide to Understanding Neural Networks Ever wonder how your phone instantly recognizes your face? Or how Netflix just *knows* you’d love that obscure…
jivoice.com
November 11, 2025 at 8:06 AM
Understanding Neural Networks: A Simple Guide for 2024 #feedforwardneuralnetwork #artificialintelligencebasics #recurrentneuralnetworks #activationfunctions #neuralnetworklayers #AIforbeginners #typesofneuralnetworks #convolutionalneuralnetworks #machinelearningmodels #backpropagationexplained
Ayoub Shahnazari et al.: Machine learning approaches for crystallographic classification from synthetic 2D X-ray diffraction data ##MachineLearning##ConvolutionalNeuralNetworks##CrystalSystemClassification@JMU...##IUCrhttps://journals.iucr.org/paper?S1600576726000099
Machine learning approaches for crystallographic classification from synthetic 2D X-ray diffraction data
This study introduces the novel Auto Diffraction Pipeline to generate large-scale synthetic 2D X-ray diffraction datasets from crystallographic information files. By training convolutional neural networks on these diverse datasets, the authors achieve rapid and automated classification across all seven crystal systems and 230 space groups.
journals.iucr.org
January 31, 2026 at 1:00 AM
Ayoub Shahnazari et al.: Machine learning approaches for crystallographic classification from synthetic 2D X-ray diffraction data ##MachineLearning##ConvolutionalNeuralNetworks##CrystalSystemClassification@JMU...##IUCrhttps://journals.iucr.org/paper?S1600576726000099
Yoshihiro Obata et al.: Enhancing synchrotron radiation micro-CT images using deep learning: an application of Noise2Inverse on bone imaging ##MachineLearning##ConvolutionalNeuralNetworks@UCSanDiego@advlightsource...##IUCrhttps://journals.iucr.org/paper?S1600577525001833
Enhancing synchrotron radiation micro-CT images using deep learning: an application of Noise2Inverse on bone imaging
The use of Noise2Inverse in low-dose in situ synchrotron micro-computed tomography experiments shows high feasibility and promise for biological tissues such as bone. With appropriate scanning parameters and experimental setup, features in bone such as lacunae volume and shape as well as mineralization can be reasonably preserved while reducing radiation dose by two to three times.
journals.iucr.org
April 2, 2025 at 12:00 AM
Yoshihiro Obata et al.: Enhancing synchrotron radiation micro-CT images using deep learning: an application of Noise2Inverse on bone imaging ##MachineLearning##ConvolutionalNeuralNetworks@UCSanDiego@advlightsource...##IUCrhttps://journals.iucr.org/paper?S1600577525001833
www.linkedin.com/pulse/machin...
#deeplearning #ConvolutionalNeuralNetworks #CNNs #deeplearningwiththewolf
#deeplearning #ConvolutionalNeuralNetworks #CNNs #deeplearningwiththewolf
Machine Vision Unveiled: How AI Sees—and What It Means
A radiologist examines a complex brain scan, carefully studying each detail. In the same moment, an AI system has already mapped the entire image, highlighting four potential areas of concern—all in l...
www.linkedin.com
December 3, 2024 at 4:17 AM
Log-quant cuts model memory 4× with minimal accuracy loss; compute fits mobile SoCs, enabling real-time, wearable lung-sound screening. #convolutionalneuralnetworks
Patient-Specific CNN-RNN for Lung-Sound Detection With 4× Smaller Memory
hackernoon.com
September 9, 2025 at 9:38 AM
Log-quant cuts model memory 4× with minimal accuracy loss; compute fits mobile SoCs, enabling real-time, wearable lung-sound screening. #convolutionalneuralnetworks
Mel-spectrograms feed a CNN-RNN; last layers retrain on tiny patient sets, then log-quant weights trim memory 4× for wearables. #convolutionalneuralnetworks
Dataset, Features, Model, and Quantization Strategy for Respiratory Sound Classification
hackernoon.com
September 9, 2025 at 9:34 AM
Mel-spectrograms feed a CNN-RNN; last layers retrain on tiny patient sets, then log-quant weights trim memory 4× for wearables. #convolutionalneuralnetworks
Hybrid spectrogram CNN-RNN outperforms VGG/MobileNet and shows that transfer learning solves data scarcity in respiratory AI. #convolutionalneuralnetworks
Patient-Specific CNN-RNN for Wheeze and Crackle Detection with 4× Memory Savings
hackernoon.com
September 9, 2025 at 9:26 AM
Hybrid spectrogram CNN-RNN outperforms VGG/MobileNet and shows that transfer learning solves data scarcity in respiratory AI. #convolutionalneuralnetworks
This article’s results show Faster R-CNN with ResNet backbones beats YOLOv5 for road damage detection, with noted gains and failure case insights. #convolutionalneuralnetworks
Lessons from Testing AI Models on Global Damage Data
hackernoon.com
August 13, 2025 at 3:30 AM
This article’s results show Faster R-CNN with ResNet backbones beats YOLOv5 for road damage detection, with noted gains and failure case insights. #convolutionalneuralnetworks
This article compares YOLOv5 and Faster R-CNN for road damage detection, finding two-stage models with ResNet backbones yield top generalized results. #convolutionalneuralnetworks
Potholes, Pipelines, and Precision: Benchmarking Object Detectors for Global Road Safety
hackernoon.com
August 13, 2025 at 3:15 AM
This article compares YOLOv5 and Faster R-CNN for road damage detection, finding two-stage models with ResNet backbones yield top generalized results. #convolutionalneuralnetworks
This article details model choice, tuning, and dataset prep for road damage detection, comparing Faster R-CNN and YOLOv5 on a global multi-country dataset. #convolutionalneuralnetworks
Benchmarking Faster R-CNN and YOLOv5 for Global Road Damage Detection Across Countries
hackernoon.com
August 13, 2025 at 3:00 AM
This article details model choice, tuning, and dataset prep for road damage detection, comparing Faster R-CNN and YOLOv5 on a global multi-country dataset. #convolutionalneuralnetworks
VTAB-1k results show our method beats LoRA in few-shot tasks, with Grad-CAM visuals confirming better spatial awareness and superior generalization. #convolutionalneuralnetworks
More Than a Feeling: Visualizing Why Filter Atoms Outsmart LoRA in Fine-Tuning
hackernoon.com
July 1, 2025 at 9:15 AM
VTAB-1k results show our method beats LoRA in few-shot tasks, with Grad-CAM visuals confirming better spatial awareness and superior generalization. #convolutionalneuralnetworks
This method fine-tunes ConvNets by adapting only filter atoms, preserving pre-trained knowledge for efficient, high-performance transfer learning. #convolutionalneuralnetworks
Tuning the Pixels, Not the Soul: How Filter Atoms Remake ConvNets
hackernoon.com
July 1, 2025 at 9:09 AM
This method fine-tunes ConvNets by adapting only filter atoms, preserving pre-trained knowledge for efficient, high-performance transfer learning. #convolutionalneuralnetworks
Fine-tune models by adapting only spatial filter atoms, preserving channel knowledge to prevent overfitting for superior, parameter-efficient results. #convolutionalneuralnetworks
Keep the Channel, Change the Filter: A Smarter Way to Fine-Tune AI Models
hackernoon.com
July 1, 2025 at 9:05 AM
Fine-tune models by adapting only spatial filter atoms, preserving channel knowledge to prevent overfitting for superior, parameter-efficient results. #convolutionalneuralnetworks
Fine-tune models by adapting only spatial filter atoms, preserving channel knowledge to prevent overfitting for superior, parameter-efficient results. #convolutionalneuralnetworks
Keep the Channel, Change the Filter: A Smarter Way to Fine-Tune AI Models
hackernoon.com
July 1, 2025 at 9:01 AM
Fine-tune models by adapting only spatial filter atoms, preserving channel knowledge to prevent overfitting for superior, parameter-efficient results. #convolutionalneuralnetworks
All those long excavation evenings sorting #pottery ... why not teaching computers how to do it (by means of #ConvolutionalNeuralNetworks)? 🤔🏺
https://www.eurekalert.org/pub_releases/2021-05/nau-atc051721.php via @EurekAlert
https://www.eurekalert.org/pub_releases/2021-05/nau-atc051721.php via @EurekAlert
November 27, 2024 at 3:58 PM
All those long excavation evenings sorting #pottery ... why not teaching computers how to do it (by means of #ConvolutionalNeuralNetworks)? 🤔🏺
https://www.eurekalert.org/pub_releases/2021-05/nau-atc051721.php via @EurekAlert
https://www.eurekalert.org/pub_releases/2021-05/nau-atc051721.php via @EurekAlert