Embedded computer module for machine learning
Nvidia’s Jetson TX1 module is an embedded computer designed to enable machine learning. Jetson TX1 is designed to process deep neural networks-computer software that can learn to recognize objects or interpret information. This allows machines to perform complex tasks such as recognizing images, processing conversational speech, or analyzing a room full of furniture and finding a path to navigate across it. Features of the Jetson TX1 include 4K video encode and decode, a camera that supports 1400 megapixels/second and 16 GB of storage. It has Wi-Fi Bluetooth capabilities and 1GB Ethernet. It has Linux for Tegra OS support and measures only 50 x 87mm. Jetson TX1 includes the most comprehensive SDK for embedded visual computing, including cuDNN, which is a CUDA-accelerated library for machine learning. For both training and inference, it is compatible with many industry-standard frameworks, including Caffe, Theano and Torch. It also features VisionWorks, which is a CUDA-accelerated library and framework for computer vision.
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