uk.farnell.com/pi3…033
Bit more of a niche deal but most places charge a lot more for this so I think it's a deal!
Description:
The Coral USB Accelerator adds an Edge TPU coprocessor to your system, enabling high-speed machine learning inferencing on a wide range of systems, simply by connecting it to a USB port.
Performs high-speed ML inferencinglinkThe on-board Edge TPU coprocessor is capable of performing 4 trillion operations (tera-operations) per second (TOPS), using 0.5 watts for each TOPS (2 TOPS per watt). For example, it can execute state-of-the-art mobile vision models such as MobileNet v2 at almost 400 FPS, in a power efficient manner. See more performance benchmarks.
Supports all major platformsConnects via USB to any system running Debian Linux (including Raspberry Pi), macOS, or Windows 10.
Supports TensorFlow LiteNo need to build models from the ground up. TensorFlow Lite models can be compiled to run on the Edge TPU.
Bit more of a niche deal but most places charge a lot more for this so I think it's a deal!
Description:
The Coral USB Accelerator adds an Edge TPU coprocessor to your system, enabling high-speed machine learning inferencing on a wide range of systems, simply by connecting it to a USB port.
Performs high-speed ML inferencinglinkThe on-board Edge TPU coprocessor is capable of performing 4 trillion operations (tera-operations) per second (TOPS), using 0.5 watts for each TOPS (2 TOPS per watt). For example, it can execute state-of-the-art mobile vision models such as MobileNet v2 at almost 400 FPS, in a power efficient manner. See more performance benchmarks.
Supports all major platformsConnects via USB to any system running Debian Linux (including Raspberry Pi), macOS, or Windows 10.
Supports TensorFlow LiteNo need to build models from the ground up. TensorFlow Lite models can be compiled to run on the Edge TPU.
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sorted byMore info can be found here: gilberttanner.com/blo…on/