The data set is the three-dimensional and two-dimensional coordinates of N pairs of points, with the three-dimensional coordinates (X1,Y1,Z) as input and the two-dimensional coordinates (X,Y) as output. How do I fit this relationship?
Dear Lo Show
DWe can use a neural network to approximate any function so it can theoretically be used to solve any problem.
For illustration:
1. https://towardsdatascience.com/using-the-right-dimensions-for-your-neural-network-2d864824d0df
2. https://www.mathworks.com/help/deeplearning/ref/trainnetwork.html
3. https://www.datacamp.com/community/tutorials/cnn-tensorflow-python
Kind Regards
Qamar Ul Islam
May I ask, which is more suitable for this problem, LSTM or GAN?
Have you tried to reduce your dimensions by using principal component analysis?
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