DeepONet

Author: kks32

docs/02-deeponet/deeponet-exercise.ipynb

@@ -13,7 +13,8 @@
     "- Implement operator learning for the derivative operator\n",
     "- Apply DeepONet to the 1D nonlinear Darcy problem\n",
     "\n",
-    "**Interactive Demo:** [![Open in Colab](https://img.shields.io/badge/Open%20in-Colab-F9AB00?style=flat-square&logo=googlecolab)](https://colab.research.google.com/github/kks32-courses/ut-portugal-sciml/blob/main/docs/02-deeponet/deeponet.ipynb)\n",
+    "**Exercise:** [![Open in Colab](https://img.shields.io/badge/Open%20in-Colab-F9AB00?style=flat-square&logo=googlecolab)](https://colab.research.google.com/github/kks32-courses/ut-portugal-sciml/blob/main/docs/02-deeponet/deeponet-exercise.ipynb)\n",
+    "**Solution:** [![Open in Colab](https://img.shields.io/badge/Open%20in-Colab-F9AB00?style=flat-square&logo=googlecolab)](https://colab.research.google.com/github/kks32-courses/ut-portugal-sciml/blob/main/docs/02-deeponet/deeponet.ipynb)\n",
     "\n",
     "\n",
     "**Slides:** [![View PDF](https://img.shields.io/badge/View-PDF-red?style=flat-square&logo=googledocs&logoColor=white)](https://github.com/kks32-courses/ut-portugal-sciml/raw/main/docs/02-deeponet/deeponet-slides.pdf)\n",