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RNNSharp is a toolkit of deep recurrent neural network which is widely used for many different kinds of tasks, such as sequence labeling, sequence-to-sequence and so on. It's written by C# language and based on .NET framework 4.6 or above versions. RNNSharp supports many different types of networks, such as forward and bi-directional network, se…
Recurrent neural network applied on IMU data to detect the different gait phases in real time. This to make the rehabilitation process easier for children with Rett syndrome