examples · masters_project · Tangled

emily.space / masters_project

[READ-ONLY] Mirror of https://github.com/emilyhunt/masters_project. My Master's project code, using a mixture density network to infer photometric redshifts to galaxies with spectroscopic redshifts as training data.

masters_project examples

4 files

emilyhunt · Lots of messing around with the loss function - Can now specify the strength of normalisation - this may be useful - The method is cheating by putting distributions outside of the allowed redshift range :@ - This could be fixed by either normalising the allowed window or using a binary activation function - I think normalising the allowed window is the best shout! - This will be a pain to implement · 7y ago

Playing with various examples. - Various examples are a pain in the backside! - Everything uses different tensorflow versions, and helpful modules are often not compatible... - I want to make a basic MDN example on my own to learn tensorflow and go from there. - Have started this in examples > toy_mdn_emily.

Lots of messing around with the loss function - Can now specify the strength of normalisation - this may be useful - The method is cheating by putting distributions outside of the allowed redshift range :@ - This could be fixed by either normalising the allowed window or using a binary activation function - I think normalising the allowed window is the best shout! - This will be a pain to implement

toy_mdn_emily.py

Loss functions now using a class system (lol) - Classes should all have 'evaluate' methods - Various stuff in their __init__ is common too - mdn.py now supports different loss functions - Regularisation was also added, and can be toggled at initialisation of an MDN. - Output from MixtureDensityNetwork.validate() changed to be a dictionary, with keys named depending on the kind of distribution used. This makes more sense to the user when using different loss functions.

toy_mdn_example.py

Playing with various examples. - Various examples are a pain in the backside! - Everything uses different tensorflow versions, and helpful modules are often not compatible... - I want to make a basic MDN example on my own to learn tensorflow and go from there. - Have started this in examples > toy_mdn_emily.