Explore tweets tagged as #neuralnetworktraining
@malickyawer007
ʏᴀᴡᴇʀ ᴀʟɪ./ 🌐
2 months
Remember.In neural networks as in life what goes around comes around.Maintaining smooth gradient flow leads to smarter more efficient neural networks. #GradientFlow #NeuralNetworks #DeepLearning #AIEngineering #MachineLearning #SmartAI #GradientDescent #NeuralNetworkTraining
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@CedHon
Cedric Honnet
5 years
Neutral network layers visualization of an image classifier:.
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@DrMattCrowson
Reluctant Quant
3 years
RT Design Thinking with Activation and Loss Functions #problemsolving #design #neuralnetworktraining
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@XENONSystems
XENON Systems
7 years
This #workshop teaches you to apply #deeplearning techniques to a wide range of computer vision tasks through a series of hands-on exercises. #frameworks #neuralnetworktraining #nvidia #DLICertification.Read more:
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@EmbVisionSummit
Embedded Vision Summit
4 years
Grab your seat to this first-rate training on the leading framework for #NeuralNetworkTraining, design and evaluation. And get the direct help you need from your expert instructor when you get stuck. Info& reg: Save 15% using code: TFSOCIAL21 #tensorflow
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@citizenhicks
hicksford
11 months
key advantages: applicable to supervised learning, works with differentiable activation functions, enables learning of complex input-output relationships. #supervisedlearning #neuralnetworktraining.
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@SAIConference
SAI Conferences
10 months
Ethan Pereira presented his innovative research at IntelliSys 2024 in Amsterdam on September 5-6, 2024, exploring cutting-edge AI techniques for sentiment analysis in the tech industry. #WalkingRobots #RoboticsResearch #AIInnovation #SoftwareEngineer #NeuralNetworkTraining
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@_gp_singh
Gurinder Pal (GP)
2 years
🔧 Tomorrow, we'll explore another crucial aspect of deep learning. Stay engaged for more insights!. #NeuralNetworkTraining #OptimizationAlgorithms #DeepLearningTechniques.
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@ChiMaBa1
ChiMaBa
6 years
Neural Network Training – Ars Electronica Center.
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@amorphousphase
metastable 😵‍💫
5 years
@cptwunderlich @TheInsaneApp Should be from this exhibit at Ars Electronica Linz:
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@seamlessblend
seamlessblend
4 years
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@seamlessblend
seamlessblend
4 years
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@andresvilarino
Andres Vilariño 🇪🇦
1 year
The #Future of #NeuralNetworkTraining: Empirical Insights into μ-Transfer for Hyperparameter Scaling. #NeuralNetworks #µP #µParameterization #LanguageModels #LMs.
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@prosodysystems
prosody systems
2 years
@_arohan_
rohan anil
2 years
First of all, massive congratulations are in order to @zacharynado @GeorgeEDahl @naman33k and co-authors on this massive work spanning multiple.years on benchmarking neural network training algorithms! 🎉🍾. I have a horse 🐴 in the race and its called distributed shampoo 🦄.
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@py2js
Python ⚙ Javascript
5 years
@GoogleAI
Google AI
5 years
Check out this simple technique that reuses intermediate outputs from a neural network training pipeline to reclaim idle accelerator capacity. Rather than waiting for data coming from earlier bottlenecks, it uses data already available for training.
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