MoveNet was trained on COCO, and an internal Google dataset called Active.
Ahead of Google I/O, Google Research launched a new pose detection model in TensorFlow.js called MoveNet. This ultra-fast and accurate model can detect 17 key points in the human body. MoveNet is currently available on TF Hub with two variants — Lightning and Thunder.
Floq allows developers to harness TPUs to simulate quantum computing workloads primed for the Quantum Jump
Google is celebrating the first anniversary of TensorFlow Quantum (TFQ), a library for rapid prototyping of hybrid quantum-classical ML models. TFQ is regarded as a tipping point for developments in hybrid quantum and classic machine learning...
Embedding your <image> in google colab . This article is a quick guide to help you embed images in google colab markdown without mounting your google drive!
Train and Deploy TensorFlow Models using Google Cloud AI Platform. A practical workflow of TensorFlow model training and deploying
Google is much more than a search company. Learn about all the tools they are developing to help turn your ideas into reality through Google AI.