Technology

Neural networks

A core subset of machine learning (ANNs), neural networks mimic the human brain's interconnected neurons to process complex data: key applications include image and speech recognition.

Neural networks operate on a layered architecture (input, hidden, output) of nodes (artificial neurons) with weighted connections. The system learns via backpropagation: processing massive datasets and iteratively adjusting those weights to minimize prediction error. This adaptive, non-linear processing capability drives modern deep learning applications, enabling high-accuracy solutions in critical areas like large language models (GPT, BERT) and autonomous vehicle systems.

https://cloud.google.com/discover/what-is-a-neural-network

What builders pair with Neural networks

Projects using both technologies. Select a pairing to see a project.

Built with Neural networks

BERT 3 shared projects GPT-3 3 shared projects GPT-4 3 shared projects Keras 2 shared projects Machine Learning 2 shared projects ONNX 2 shared projects

12 more pairings

PyTorch 2 shared projects scikit-learn 2 shared projects TensorFlow 2 shared projects 3D Modeling 1 shared project 3D Reconstruction 1 shared project AI models 1 shared project APIs 1 shared project BLOOM 1 shared project Cloud computing 1 shared project Deep learning 1 shared project Gaussian Splatting 1 shared project Generative AI 1 shared project

Pairing: BERT

Bolsa de Valores + AI : Experimentos personales para detectar buenos momentos de inversión y especulación

Bogotá · September 26, 2024

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