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
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Updated
Sep 29, 2022 - C#
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
Machine learning library for creating and working with GAN, RNN, CNN, R-CNN and also with Classic Neural Networks.
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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…
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