.NET Standard bindings for Google's TensorFlow for developing models
TensorFlow.NET (TF.NET) provides a .NET Standard binding for TensorFlow. It aims to implement the complete Tensorflow API in C# which allows .NET developers to develop, train and deploy Machine Learning models with the cross-platform .NET Standard framework. TensorFlow.NET has built-in Keras high-level interface and is released as an independent package TensorFlow.Keras. SciSharp STACK's mission is to bring popular data science technology into the .NET world and to provide .NET developers...
The idea is to enhance and develop the national border crossing process by the integration of automated vehicle recognition while crossing country borders.
i'm going to use Automatic number plate recognition (ANPR): a system that recognizes the numbers of the vehicle plates by using OCR (optical character recognition) technology and Infrared cameras.
This is going to be achieved by taking the license plate image from the camera and processing it using the software I’m going to develop...
Lithops (the flowering stones) is a program that plays the game of Go. I develop Lithops as a research challenge, but also, importantly, to create a computerized partner for people learning and studying Go.
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