is there any way to train a model to learn a matrix and all variables in it then generate same matrix
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actually, my supervisor told me to find a way to computer learn the matrix which I created for my thesis and the computer can make the same matrix with the same attitude as my matrix
anyone know how can I do this? deep learning? neural network? is there anyway, can somebody give me that way!?
I made my matrix in python with sympy
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Sam Chak
2022 年 11 月 30 日
The answer is generally yes, it is possible to train so long as it is a non-singular (invertible) matrix.
First, generate the data based on your desired Attitude Representation and Transformation Matrices.
Then, either export the Deep Learning network to TensorFlow, or export the network to ONNX model format.
For more info, please check out this article: Interoperability Between Deep Learning Toolbox, TensorFlow, PyTorch, and ONNX.
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