Created
April 23, 2020 14:46
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data_lorenz
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| # Generate some data to fit, and add some noise to it | |
| data=predict_adjoint([1.0,0.0,0.0,10.0,28.0,8.0/3]) | |
| σN=0.05 | |
| data+=σN*randn(size(data)) | |
| function loss_adjoint(param) | |
| prediction = predict_adjoint(param) | |
| loss = sum(abs2,prediction - data) | |
| loss | |
| end |
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