Repository for the Master Research Project: "Data compression for weak lensing studies with the upcoming Euclid mission with Information Maximizing Neural Networks"
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2D Gaussian data with 1 unknown variance and known means #1
By assuming both dimensions of the Gaussian are unrelated, I can generate data from a 2D gaussian by generating data from two one-D gaussians. (see learning_purposes/2Dgaussian_variance/main.py)
The learning curve is given below for network version 1005. Of which the model settings are saved under learning_purposes/2Dgaussian_variance/modelsettings2.csv
By assuming both dimensions of the Gaussian are unrelated, I can generate data from a 2D gaussian by generating data from two one-D gaussians. (see learning_purposes/2Dgaussian_variance/main.py)
The learning curve is given below for network version 1005. Of which the model settings are saved under learning_purposes/2Dgaussian_variance/modelsettings2.csv