nesar/AstroVAE

Truncated PCA vs AE

Opened this issue · 2 comments

nesar commented

svd_truncatedweights

vae_encodedoutputs_y0a

AE with just one hidden layer seems to do a good job of dimensionality reduction.

Check with more layers

nesar commented

gp_pca_output
gp_ae_output
VAE with 2 latent values (encoded outputs dimension = 2) vs PCA with 2 principal eigenvalues.

nesar commented

gp_pca_ratio
gp_ae_ratio