#DeepLearningModels

@elizajosh.bsky.social

3 months ago

Transformer models and neural networks have transformed AI learning from manual programming to dynamic intelligence.

Learn how: www.osiztechnologies.com/generative-a...

#AI #GenerativeAI #GenerativeAIDevelopment #TechInnovation #MachineLearningAI #NeuralComputing #AITraining #DeepLearningModels

Bioinformatics Advances

@bioinfoadv.bsky.social

7 months ago

This study introduces two hybrid #deeplearningmodels that combine k-mer composition and one-hot encoded CNN features to predict m6A RNA modification sites.

Journal of Machine Learning for Modeling and Computing

@jmlmc.bsky.social

9 months ago

Deep Neural Network for Solving Poisson−Boltzmann Equations on Protein Surfaces

www.dl.begellhouse.com/journals/558...

#ComputationalBiophysics #ScientificML #Electrostatics #DeepLearningModels

Begell Engineering Research

@begellengineering.bsky.social

9 months ago

Deep Neural Network for Solving Poisson−Boltzmann Equations on Protein Surfaces

www.dl.begellhouse.com/journals/558...

#ComputationalBiophysics #ScientificML #Electrostatics #DeepLearningModels

Begell House Inc. Publishers

@begellhouse.bsky.social

9 months ago

Deep Neural Network for Solving Poisson−Boltzmann Equations on Protein Surfaces

www.dl.begellhouse.com/journals/558...

#ComputationalBiophysics #ScientificML #Electrostatics #DeepLearningModels

HackerNoon

@hackernoon.com

1 year ago

Ducho: A Unified Framework for Multimodal Feature Extraction in AI-Powered Recommendations

Ducho streamlines multimodal feature extraction for AI-driven recommendations, supporting audio, visual, and textual data. #deeplearningmodels

HackerNoon

@hackernoon.com

1 year ago

Ducho, the AI That Knows What You Think About That Toaster

Ducho extracts textual features from product descriptions and user reviews using multilingual BERT for sentiment analysis, refining AI-powered recommendations. #deeplearningmodels

HackerNoon

@hackernoon.com

1 year ago

Making AI Recommendations Smarter with Visual, Text, and Audio Data

Explore Ducho’s real-world demos in fashion and music recommendation, leveraging visual, textual, and audio features for AI-driven recommendations. #deeplearningmodels

HackerNoon

@hackernoon.com

1 year ago

Ducho’s Big Bet: A Unified Future for Multimodal AI

Ducho streamlines multimodal feature extraction with a structured pipeline and a pre-configured Docker image for GPU-accelerated deep learning.GPU acceleration #deeplearningmodels

HackerNoon

@hackernoon.com

1 year ago

A New Way to Extract Features for Smarter AI Recommendations

Ducho’s modular architecture streamlines multimodal feature extraction with dataset handling, deep learning integration, and YAML-based configuration. #deeplearningmodels

HackerNoon

@hackernoon.com

1 year ago

A Unified Framework for Multimodal Feature Extraction in Recommendation Systems

Ducho is a unified framework integrating TensorFlow, PyTorch, and Transformers to streamline multimodal feature extraction for recommendation systems. #deeplearningmodels

AI-C

@aicompetence.org

1 year ago

Neural ODEs Vs. RNNs Vs. LSTMs: Best For Sequential Data? Explore the differences between Neural ODEs, RNNs, and LSTMs, and learn when each model is best suited for sequential data analysis tasks.

Advances in deep learning have opened new pathways for handling sequential data, a cornerstone of applications in finance, healthcare, NLP, and beyond. #datamodeling #deeplearningmodels #LSTM #NeuralNetworks #NeuralODEs #RNN #SequentialData #timeseriesanalysis
aicompetence.org/neural-odes-...