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Using TensorFlow Lite on Android
Posted by Laurence Moroney, Developer AdvocateWhat is TensorFlow Lite?TensorFlow Lite is TensorFlow’s lightweight solution for mobile and embedded devices. It lets you run machine-learned models on...
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Training and serving a realtime mobile object detector in 30 minutes with...
By Sara Robinson, Aakanksha Chowdhery, and Jonathan HuangWhat if you could train and serve your object detection models even faster? We’ve heard your feedback, and today we’re excited to announce...
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TensorFlow 1.9 Officially Supports the Raspberry Pi
By Pete Warden, Software EngineerCC Photo by osde8infoWhen TensorFlow was first launched in 2015, we wanted it to be an “open source machine learning framework for everyone”. To do that, we need to run...
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AMD ROCm GPU support for TensorFlow
Guest post by Mayank Daga, Director, Deep Learning Software, AMDWe are excited to announce the release of TensorFlow v1.8 for ROCm-enabled GPUs, including the Radeon Instinct MI25. This is a major...
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Introducing the Model Optimization Toolkit for TensorFlow
We are excited to introduce a new optimization toolkit in TensorFlow: a suite of techniques that developers, both novice and advanced, can use to optimize machine learning models for deployment and...
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TensorFlow Lite Now Faster with Mobile GPUs (Developer Preview)
TensorFlow Lite Now Faster with Mobile GPUsPosted by the TensorFlow teamRunning inference on compute-heavy machine learning models on mobile devices is resource demanding due to the devices’ limited...
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