publish [GPU]: course_UvA-DL/07-deep-energy-based-generative-models

Author: Azure Pipelines

.notebooks/course_UvA-DL/07-deep-energy-based-generative-models.ipynb

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:70f44e8a8544dad6017fbf03a371fd969b55af3125dc33918a8b31da52c25e9e
+size 597521

.notebooks/course_UvA-DL/07-deep-energy-based-generative-models.jpg

@@ -0,0 +1,59 @@
+title: 'Tutorial 7: Deep Energy-Based Generative Models'
+author: Phillip Lippe
+created: 2021-07-12
+updated: 2023-03-14
+license: CC BY-SA
+build: 1
+tags:
+- Image
+description: 'In this tutorial, we will look at energy-based deep learning models,
+  and focus on their application as generative models.
+
+  Energy models have been a popular tool before the huge deep learning hype around
+  2012 hit.
+
+  However, in recent years, energy-based models have gained increasing attention because
+  of improved training methods and tricks being proposed.
+
+  Although they are still in a research stage, they have shown to outperform strong
+  Generative Adversarial Networks
+
+  in certain cases which have been the state of the art of generating images
+
+  ([blog post](https://ajolicoeur.wordpress.com/the-new-contender-to-gans-score-matching-with-langevin-sampling/)about
+  strong energy-based models,
+
+  [blog post](https://medium.com/syncedreview/nvidia-open-sources-hyper-realistic-face-generator-stylegan-f346e1a73826)
+  about the power of GANs).
+
+  Hence, it is important to be aware of energy-based models, and as the theory can
+  be abstract sometimes,
+
+  we will show the idea of energy-based models with a lot of examples.
+
+  This notebook is part of a lecture series on Deep Learning at the University of
+  Amsterdam.
+
+  The full list of tutorials can be found at https://uvadlc-notebooks.rtfd.io.
+
+  '
+requirements:
+- torchvision
+- matplotlib
+- tensorboard
+- pytorch-lightning>=2.0.0
+accelerator:
+- CPU
+- GPU
+environment:
+- numpy==1.26.4
+- setuptools==69.0.3
+- ipython==8.16.1
+- pytorch-lightning==2.0.9.post0
+- torchmetrics==1.2.1
+- torchvision==0.15.2
+- tensorboard==2.17.0
+- urllib3==2.2.2
+- torch==2.0.1
+- matplotlib==3.8.4
+published: '2024-07-19T19:46:41.289373'