publish [GPU]: course_UvA-DL/08-deep-autoencoders

Author: Azure Pipelines

.notebooks/course_UvA-DL/08-deep-autoencoders.ipynb

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:572d84927e7b719f10b0378b70b2ddb429f8e4ad971d79fdc610ec47c0ce9b49
-size 1675617
+oid sha256:42f5d5012452c3c51fcb3eed1fae477311318579e88e3067500680b87ec91340
+size 1668503

.notebooks/course_UvA-DL/08-deep-autoencoders.yaml

@@ -37,13 +37,15 @@ description: 'In this tutorial, we will take a closer look at autoencoders (AE).
 accelerator:
 - CPU
 - GPU
+OS: Linux
+python: 3.10.12
 environment:
-- numpy==1.26.4
-- pytorch-lightning==2.0.9.post0
-- torchvision==0.15.2+cu118
-- seaborn==0.13.2
+- tensorboard==2.17.0
 - matplotlib==3.9.1
+- seaborn==0.13.2
+- torchvision==0.16.2+cu121
+- torch==2.1.2+cu121
 - torchmetrics==1.2.1
-- torch==2.0.1+cu118
-- tensorboard==2.17.0
-published: '2024-07-23T21:32:12.758526'
+- pytorch-lightning==2.0.9.post0
+- numpy==1.26.4
+published: '2024-07-26T06:51:19.337080'