docs: fix tex formulas rendering for tutorials

.github/workflows/ci_docs.yml

@@ -36,7 +36,7 @@ jobs:
           python-version: 3.8
           cache: pip
 
-      - name: Install Texlive & tree
+      - name: Install tree
         run: |
           sudo apt-get update --fix-missing
           sudo apt-get install -y cmake tree pandoc

.notebooks/course_UvA-DL/01-introduction-to-pytorch.yaml

@@ -1,32 +1,32 @@
-title: 'Tutorial 1: Introduction to PyTorch'
+title: "Tutorial 1: Introduction to PyTorch"
 author: Phillip Lippe
 created: 2021-08-27
 updated: 2023-03-14
 license: CC BY-SA
 build: 1
-description: 'This tutorial will give a short introduction to PyTorch basics, and
+description: "This tutorial will give a short introduction to PyTorch basics, and
   get you setup for writing your own neural networks.
 
   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:
-- matplotlib
-- lightning>=2.0.0
+  - matplotlib
+  - lightning>=2.0.0
 accelerator:
-- CPU
-- GPU
+  - CPU
+  - GPU
 environment:
-- torchmetrics==1.2.1
-- lightning==2.3.3
-- matplotlib==3.8.4
-- urllib3==2.2.2
-- pytorch-lightning==1.5.3
-- setuptools==69.0.3
-- ipython==8.16.1
-- numpy==1.26.4
-- torch==2.0.1+cu118
-published: '2024-07-20T00:27:36.724445'
+  - torchmetrics==1.2.1
+  - lightning==2.3.3
+  - matplotlib==3.8.4
+  - urllib3==2.2.2
+  - pytorch-lightning==1.5.3
+  - setuptools==69.0.3
+  - ipython==8.16.1
+  - numpy==1.26.4
+  - torch==2.0.1+cu118
+published: "2024-07-20T00:27:36.724445"

.notebooks/course_UvA-DL/02-activation-functions.yaml

@@ -1,9 +1,9 @@
-title: 'Tutorial 2: Activation Functions'
+title: "Tutorial 2: Activation Functions"
 author: Phillip Lippe
 created: 2021-08-27
 updated: 2023-03-14
 license: CC BY-SA
-description: 'In this tutorial, we will take a closer look at (popular) activation
+description: "In this tutorial, we will take a closer look at (popular) activation
   functions and investigate their effect on optimization properties in neural networks.
 
   Activation functions are a crucial part of deep learning models as they add the
@@ -13,32 +13,32 @@ description: 'In this tutorial, we will take a closer look at (popular) activati
   more beneficial than others.
 
   The goal of this tutorial is to show the importance of choosing a good activation
-  function (and how to do so), and what problems might occur if we don''t.
+  function (and how to do so), and what problems might occur if we don't.
 
   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
-- seaborn
-- lightning>=2.0.0
+  - torchvision
+  - matplotlib
+  - seaborn
+  - lightning>=2.0.0
 accelerator:
-- CPU
-- GPU
+  - CPU
+  - GPU
 environment:
-- ipython==8.16.1
-- numpy==1.26.4
-- torchmetrics==1.2.1
-- torch==2.0.1
-- pytorch-lightning==2.0.9.post0
-- torchvision==0.15.2
-- lightning==2.3.3
-- seaborn==0.13.2
-- setuptools==69.0.3
-- matplotlib==3.8.4
-- urllib3==2.2.2
-published: '2024-07-19T19:22:02.189820'
+  - ipython==8.16.1
+  - numpy==1.26.4
+  - torchmetrics==1.2.1
+  - torch==2.0.1
+  - pytorch-lightning==2.0.9.post0
+  - torchvision==0.15.2
+  - lightning==2.3.3
+  - seaborn==0.13.2
+  - setuptools==69.0.3
+  - matplotlib==3.8.4
+  - urllib3==2.2.2
+published: "2024-07-19T19:22:02.189820"

.notebooks/course_UvA-DL/03-initialization-and-optimization.yaml

@@ -1,13 +1,13 @@
-title: 'Tutorial 3: Initialization and Optimization'
+title: "Tutorial 3: Initialization and Optimization"
 author: Phillip Lippe
 created: 2021-08-27
 updated: 2023-03-14
 license: CC BY-SA
 tags:
-- Image
-- Initialization
-- Optimizers
-description: 'In this tutorial, we will review techniques for optimization and initialization
+  - Image
+  - Initialization
+  - Optimizers
+description: "In this tutorial, we will review techniques for optimization and initialization
   of neural networks.
 
   When increasing the depth of neural networks, there are various challenges we face.
@@ -23,25 +23,25 @@ description: 'In this tutorial, we will review techniques for optimization and i
 
   The full list of tutorials can be found at https://uvadlc-notebooks.rtfd.io.
 
-  '
+  "
 requirements:
-- torchvision
-- matplotlib
-- seaborn
-- lightning>=2.0.0
+  - torchvision
+  - matplotlib
+  - seaborn
+  - lightning>=2.0.0
 accelerator:
-- CPU
-- GPU
+  - CPU
+  - GPU
 environment:
-- ipython==8.16.1
-- urllib3==2.2.2
-- seaborn==0.13.2
-- numpy==1.26.4
-- torchmetrics==1.2.1
-- torch==2.0.1
-- pytorch-lightning==2.0.9.post0
-- lightning==2.3.3
-- matplotlib==3.8.4
-- setuptools==69.0.3
-- torchvision==0.15.2
-published: '2024-07-19T19:29:56.143678'
+  - ipython==8.16.1
+  - urllib3==2.2.2
+  - seaborn==0.13.2
+  - numpy==1.26.4
+  - torchmetrics==1.2.1
+  - torch==2.0.1
+  - pytorch-lightning==2.0.9.post0
+  - lightning==2.3.3
+  - matplotlib==3.8.4
+  - setuptools==69.0.3
+  - torchvision==0.15.2
+published: "2024-07-19T19:29:56.143678"

.notebooks/course_UvA-DL/04-inception-resnet-densenet.yaml

@@ -1,11 +1,11 @@
-title: 'Tutorial 4: Inception, ResNet and DenseNet'
+title: "Tutorial 4: Inception, ResNet and DenseNet"
 author: Phillip Lippe
 created: 2021-08-27
 updated: 2023-03-14
 license: CC BY-SA
 tags:
-- Image
-description: 'In this tutorial, we will implement and discuss variants of modern CNN
+  - Image
+description: "In this tutorial, we will implement and discuss variants of modern CNN
   architectures.
 
   There have been many different architectures been proposed over the past few years.
@@ -26,28 +26,28 @@ description: 'In this tutorial, we will implement and discuss variants of modern
 
   The full list of tutorials can be found at https://uvadlc-notebooks.rtfd.io.
 
-  '
+  "
 requirements:
-- torchvision
-- matplotlib
-- seaborn
-- tabulate
-- lightning>=2.0.0
-- tensorboard
+  - torchvision
+  - matplotlib
+  - seaborn
+  - tabulate
+  - lightning>=2.0.0
+  - tensorboard
 accelerator:
-- GPU
+  - GPU
 environment:
-- setuptools==69.0.3
-- lightning==2.3.3
-- seaborn==0.13.2
-- urllib3==2.2.2
-- tensorboard==2.17.0
-- torchmetrics==1.2.1
-- numpy==1.26.4
-- ipython==8.16.1
-- torchvision==0.15.2
-- tabulate==0.9.0
-- pytorch-lightning==2.0.9.post0
-- matplotlib==3.8.4
-- torch==2.0.1
-published: '2024-07-19T19:35:09.316261'
+  - setuptools==69.0.3
+  - lightning==2.3.3
+  - seaborn==0.13.2
+  - urllib3==2.2.2
+  - tensorboard==2.17.0
+  - torchmetrics==1.2.1
+  - numpy==1.26.4
+  - ipython==8.16.1
+  - torchvision==0.15.2
+  - tabulate==0.9.0
+  - pytorch-lightning==2.0.9.post0
+  - matplotlib==3.8.4
+  - torch==2.0.1
+published: "2024-07-19T19:35:09.316261"

.notebooks/course_UvA-DL/05-transformers-and-MH-attention.yaml

@@ -1,12 +1,12 @@
-title: 'Tutorial 5: Transformers and Multi-Head Attention'
+title: "Tutorial 5: Transformers and Multi-Head Attention"
 author: Phillip Lippe
 created: 2021-06-30
 updated: 2023-03-14
 license: CC BY-SA
 build: 0
 tags:
-- Text
-description: 'In this tutorial, we will discuss one of the most impactful architectures
+  - Text
+description: "In this tutorial, we will discuss one of the most impactful architectures
   of the last 2 years: the Transformer model.
 
   Since the paper Attention Is All You Need by Vaswani et al. had been published in
@@ -29,24 +29,24 @@ description: 'In this tutorial, we will discuss one of the most impactful archit
 
   The full list of tutorials can be found at https://uvadlc-notebooks.rtfd.io.
 
-  '
+  "
 requirements:
-- torchvision
-- matplotlib
-- seaborn
-- lightning>=2.0.0
+  - torchvision
+  - matplotlib
+  - seaborn
+  - lightning>=2.0.0
 accelerator:
-- GPU
+  - GPU
 environment:
-- pytorch-lightning==2.0.9.post0
-- lightning==2.3.3
-- setuptools==69.0.3
-- ipython==8.16.1
-- numpy==1.26.4
-- torchvision==0.15.2
-- seaborn==0.13.2
-- torchmetrics==1.2.1
-- matplotlib==3.8.4
-- torch==2.0.1
-- urllib3==2.2.2
-published: '2024-07-19T19:40:50.645247'
+  - pytorch-lightning==2.0.9.post0
+  - lightning==2.3.3
+  - setuptools==69.0.3
+  - ipython==8.16.1
+  - numpy==1.26.4
+  - torchvision==0.15.2
+  - seaborn==0.13.2
+  - torchmetrics==1.2.1
+  - matplotlib==3.8.4
+  - torch==2.0.1
+  - urllib3==2.2.2
+published: "2024-07-19T19:40:50.645247"