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Real-time object detection, which uses neural networks and deep learning to rapidly identify and tag objects of interest in a video feed, is a handy feature with great hacker potential. Happily, it… ...
Reviews suggest that the TensorFlow Object Detection API is easier to use to train proprietary models. Its GitHub repository includes several Jupyter Notebooks for installation, model training and ...
The TensorFlow Object Detection API gives data scientists and developers access to the same tech that Google uses for its own systems, like the Nest Cam, similar items in Image Search, and street ...
Google today released TensorFlow Graph Neural Networks (TF-GNN) in alpha, a library designed to make it easier to work with graph structured data using TensorFlow, its machine learning framework.
That said, TensorFlow is still tied, in some ways, to the internal Google infrastructure, according to Google engineer Rajat Monga. This is why Google hasn't open sourced all of TensorFlow, he ...
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