DeepLab
DeepLab is a family of deep convolutional neural network architectures for semantic segmentation, developed by Liang-Chieh Chen and collaborators at UCLA and Google between 2014 and 2018 .
Explore Google through related topics and the articles other pages reference most.
Explore articles
Browse subtopics: Deep Learning
Articles that also belong to these categories. Counts cover all of Google.
All articles (102)AI Hardware (24)Machine Learning (16)AI Tools & Products (14)AI Infrastructure (13)Large Language Models (12)AI Models (11)Developer Tools (11)Open Source AI (11)Artificial Intelligence (7)Generative AI (7)People (7)Google DeepMind (6)Multimodal AI (6)AI Agents (5)AI Code Generation (5)AI History (5)Conversational AI (5)Image Generation (5)AI Research (4)Healthcare AI (4)Speech & Audio AI (4)AI Companies (3)AI for Science (3)Computer Vision (3)Deep Learning (3)Enterprise AI (3)Music & Audio Generation (3)AI Inference (2)Data Centers (2)Model Architecture (2)Small Language Models (2)Software Development (2)Transformer Models (2)AI Safety (1)Algorithms (1)Anthropic (1)Autonomous Vehicles (1)Computer Science (1)Data & Datasets (1)Diffusion Models (1)Drug Discovery (1)Edge computing (1)Education AI (1)MLOps (1)Mathematics (1)Mixture of Experts (1)Neural Networks (1)Reinforcement Learning (1)Robotics (1)Training & Optimization (1)Video Generation (1)Voice AI (1)
Showing 1-3 of 3 articles
Tensor Processing Unit (TPU)
A Tensor Processing Unit (TPU) is a family of custom application-specific integrated circuits developed by Google to accelerate machine-learning computation.
TensorFlow
TensorFlow is an open-source software platform for numerical computation and machine learning.