You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
Copy file name to clipboardExpand all lines: README.md
+7-1
Original file line number
Diff line number
Diff line change
@@ -62,4 +62,10 @@ Step 29999 Test ELBO estimate: -106.803 Test log p(x) estimate: -97.620
62
62
Total time: 2.350 minutes
63
63
```
64
64
65
-
(The difference between a mean field and inverse autoregressive flow may be due to several factors, chief being the lack of convolutions in the implementation. Residual blocks are used in https://arxiv.org/pdf/1606.04934.pdf to get the ELBO closer to -80 nats.)
65
+
(The difference between a mean field and inverse autoregressive flow may be due to several factors, chief being the lack of convolutions in the implementation. Residual blocks are used in https://arxiv.org/pdf/1606.04934.pdf to get the ELBO closer to -80 nats.)
66
+
67
+
# Generating the GIFs
68
+
69
+
1. Run `python train_variational_autoencoder_tensorflow.py`
70
+
2. Install imagemagick (homebrew for Mac: https://formulae.brew.sh/formula/imagemagick or Chocolatey in Windows: https://community.chocolatey.org/packages/imagemagick.app)
71
+
3. Go to the directory where the jpg files are saved, and run the imagemagick command to generate the .gif: `convert -delay 20 -loop 0 *.jpg latent-space.gif`
0 commit comments