#convolutionalneuralnetworks — Public Fediverse posts
Live and recent posts from across the Fediverse tagged #convolutionalneuralnetworks, aggregated by home.social.
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🚨 Breaking News: A new way to procrastinate and pretend to learn emerges! CNN Explainer promises to teach you convolutional neural networks in your browser—because reading real papers was too mainstream, and who needs depth when you have GIFs? 🤓💻📉
https://poloclub.github.io/cnn-explainer/ #BreakingNews #Procrastination #Learning #ConvolutionalNeuralNetworks #GIFs #HackerNews #ngated -
🚨 Breaking News: A new way to procrastinate and pretend to learn emerges! CNN Explainer promises to teach you convolutional neural networks in your browser—because reading real papers was too mainstream, and who needs depth when you have GIFs? 🤓💻📉
https://poloclub.github.io/cnn-explainer/ #BreakingNews #Procrastination #Learning #ConvolutionalNeuralNetworks #GIFs #HackerNews #ngated -
🚨 Breaking News: A new way to procrastinate and pretend to learn emerges! CNN Explainer promises to teach you convolutional neural networks in your browser—because reading real papers was too mainstream, and who needs depth when you have GIFs? 🤓💻📉
https://poloclub.github.io/cnn-explainer/ #BreakingNews #Procrastination #Learning #ConvolutionalNeuralNetworks #GIFs #HackerNews #ngated -
🚨 Breaking News: A new way to procrastinate and pretend to learn emerges! CNN Explainer promises to teach you convolutional neural networks in your browser—because reading real papers was too mainstream, and who needs depth when you have GIFs? 🤓💻📉
https://poloclub.github.io/cnn-explainer/ #BreakingNews #Procrastination #Learning #ConvolutionalNeuralNetworks #GIFs #HackerNews #ngated -
CNN Explainer – Learn Convolutional Neural Network in Your Browser (2020)
https://poloclub.github.io/cnn-explainer/
#HackerNews #CNN #Explainer #ConvolutionalNeuralNetworks #MachineLearning #BrowserBased #Education #2020
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Talos: Hardware accelerator for deep convolutional neural networks
#HackerNews #Talos #Hardware #Accelerator #Deep #Learning #ConvolutionalNeuralNetworks
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Talos: Hardware accelerator for deep convolutional neural networks
#HackerNews #Talos #Hardware #Accelerator #Deep #Learning #ConvolutionalNeuralNetworks
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Talos: Hardware accelerator for deep convolutional neural networks
#HackerNews #Talos #Hardware #Accelerator #Deep #Learning #ConvolutionalNeuralNetworks
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Talos: Hardware accelerator for deep convolutional neural networks
#HackerNews #Talos #Hardware #Accelerator #Deep #Learning #ConvolutionalNeuralNetworks
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Talos: Hardware accelerator for deep convolutional neural networks
#HackerNews #Talos #Hardware #Accelerator #Deep #Learning #ConvolutionalNeuralNetworks
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Understanding Neural Networks: A Beginner's Guide
https://jivoice.com/understanding-neural-networks-3/
#hiddenlayers #artificialintelligencebasics #backpropagationsimpleexplanation #whatareneuralnetworks #deeplearningexplained #recurrentneuralnetworks #convolutionalneuralnetworks #weightsandbiases #neuralnetworktraining #machinelearningmodels
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Log-quant cuts model memory 4× with minimal accuracy loss; compute fits mobile SoCs, enabling real-time, wearable lung-sound screening. https://hackernoon.com/patient-specific-cnn-rnn-for-lung-sound-detection-with-4-smaller-memory #convolutionalneuralnetworks
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Mel-spectrograms feed a CNN-RNN; last layers retrain on tiny patient sets, then log-quant weights trim memory 4× for wearables. https://hackernoon.com/dataset-features-model-and-quantization-strategy-for-respiratory-sound-classification #convolutionalneuralnetworks
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Hybrid spectrogram CNN-RNN outperforms VGG/MobileNet and shows that transfer learning solves data scarcity in respiratory AI. https://hackernoon.com/patient-specific-cnn-rnn-for-wheeze-and-crackle-detection-with-4-memory-savings #convolutionalneuralnetworks
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This article’s results show Faster R-CNN with ResNet backbones beats YOLOv5 for road damage detection, with noted gains and failure case insights. https://hackernoon.com/lessons-from-testing-ai-models-on-global-damage-data #convolutionalneuralnetworks
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This article compares YOLOv5 and Faster R-CNN for road damage detection, finding two-stage models with ResNet backbones yield top generalized results. https://hackernoon.com/potholes-pipelines-and-precision-benchmarking-object-detectors-for-global-road-safety #convolutionalneuralnetworks
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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. https://hackernoon.com/benchmarking-faster-r-cnn-and-yolov5-for-global-road-damage-detection-across-countries #convolutionalneuralnetworks
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#ConvolutionalNeuralNetworks (#CNNs in short) are immensely useful for many #imageProcessing tasks and much more...
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 ?
- Mean:
[0.485, 0.456, 0.406](for R, G and B channels respectively) - Std:
[0.229, 0.224, 0.225]
Strangest to me is the need for a three-digits precision. Here, after finding the origin of these numbers for MNIST and ImageNet, I am testing if that precision is really important : guess what, it is not (so much) !
👉 if interested in more details, check-out https://laurentperrinet.github.io/sciblog/posts/2024-12-09-normalizing-images-in-convolutional-neural-networks.html
- Mean:
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Measurement of atmospheric #neutrino oscillation parameters using #ConvolutionalNeuralNetworks with 9.3 years of data in #IceCube DeepCore: https://arxiv.org/abs/2405.02163 -> Measurement of atmospheric neutrino oscillation parameters using convolutional neural networks with high precision: https://icecube.wisc.edu/news/research/2024/05/measurement-of-atmospheric-neutrino-oscillation-parameters-using-convolutional-neural-networks-with-high-precision/
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What are convolutional neural networks? - Convolutional neural networks (CNNs) are a class of deep neural n... - https://cointelegraph.com/explained/what-are-convolutional-neural-networks #convolutionalneuralnetworks #cnns
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How neural networks work—and why they’ve become a big business - Enlarge (credit: Aurich Lawson / Getty)
The last decade has seen remarkable improvements in the a... more: https://arstechnica.com/?p=1604133 #convolutionalneuralnetworks #alexkrizhevsky #neuralnetworks #deeplearning #features #science #alexnet -
"Emergence of brain-like mirror-symmetric viewpoint tuning in convolutional neural networks"
https://www.biorxiv.org/content/10.1101/2023.01.05.522909v1#Neuroscience #Neuro #ComputationalNeuroscience #Vision #MachineLearning #DeepLearning #ConvolutionalNeuralNetworks
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Abseits dieser Ausstellung gibt es ein (offenbar noch nicht dokumentiertes) interaktives Exponat eines #ConvolutionalNeuralNetworks zur #Bilderkennung, bei dem alle Zwischenergebnisse der Convolutional, Pool und Fully-Connected-Layer auf eigenen Monitoren dargestellt sind. Mit einer Kamera kann man beliebige (vorhandene) Objekte und Bild-Karten aufnehmen und sich das Klassifikationsergebnis inklusive Konfidenz ansehen. Sehr interessant.
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Londoner Forscher haben eine KI auf den Stil von Künstlern trainiert. So können sie Werke rekonstruieren, die lange als unwiederbringlich verloren galten.
Übermaltes Picasso-Werk durch 3D-Druck wiederhergestellt -
Ohne Implantate oder Verkabelung kommt eine neuartige Hirnschnittstelle aus. Damit konnten Versuchspersonen ein virtuelles Spiel spielen, ohne sich zu bewegen.
Mikro-Elektroden erleichtern die Gedankensteuerung von Geräten -
VOCHI raises additional $2.4 million for its computer vision-powered video editing app - VOCHI, a Belarus-based startup behind a clever computer vision-based video editing... - http://feedproxy.google.com/~r/Techcrunch/~3/ye8jKOj7GIM/ #convolutionalneuralnetworks #artificialintelligence #image-processing #fundings&exits #computervision #onlinecreators #recentfunding #videoediting #socialmedia #startups #creators #funding #belarus #mobile #social #videos #media #video #apps
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Das Sortieren von verzerrten Scherben gehört zur grundlegenden Arbeit in der Archäologie, gerne macht es aber wohl niemand. Algorithmen könnten es übernehmen. Archäologie: KI klassifiziert Scherben besser und nachvollziehbarer als Menschen
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What tech gets right about healthcare - Why is tech still aiming for the healthcare industry? It seems full of endless regulatory hurdles or... more: http://feedproxy.google.com/~r/Techcrunch/~3/i4at4yesRoY/ #convolutionalneuralnetworks #artificialintelligence #healthcareindustry #healthcarestartup #machinelearning #venturecapital #biotechnology #e-commerce #healthcare #healthcare #innovaccer #insurance #startups #advisors #genomics #mattocko #medicare #biotech #science #23andme #america