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TensorFlow-GNN is a new framework for training Graph Neural Networks in TensorFlow. Does anyone know good learning resources?
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I am trying to develop a system(machine learning model) to identify whether the land is agricultural or paddy (dry land or wet-land) and has undergone changes over a period of time.
Can anyone suggest suitable dataset which I can use for training purposes?
after a few research i have got some datasets websites Please do check it:
https://data.world/datasets/land
https://www.researchgate.net/publication/317914265_A_global_dataset_of_crowdsourced_land_cover_and_land_use_reference_data
https://rmets.onlinelibrary.wiley.com/doi/full/10.1002/gdj3.32
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I want to know whether there is a pre existing data base of synthetic images and their associated depth maps for the purpose of training a NN.
There's the Middlebury dataset:
http://vision.middlebury.edu/stereo/data/
And the NYU Depth dataset:
https://cs.nyu.edu/~silberman/datasets/nyu_depth_v2.html
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I'm a newbie to Image-processing thing and I want to read a book that is good to start with.I've searched online for books but when I start to read them I can't really get the idea , so any suggestions?
Digital Image Processing
by Gonzalez and Woods is a standard reference.
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Does anyone know if there exists some kind of online-testing environment for antlr-grammars where i can validate and test a given grammar against some input strings...?
Would be glad for any help!
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I am choosing web server for my Rails application and looking for applications to measure performance of Rails application.
Can you recomend me good software for this aim?
what kind of performance? you could try newrelic