docs: add feature viz tutorials link

deel-ai · Oct 18, 2023 · ee876f8 · ee876f8
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diff --git a/TUTORIALS.md b/TUTORIALS.md
@@ -66,6 +66,9 @@ Here is the lists of the available tutorial for now:
 
 **WIP**
 
-## Features Visualizations
+## Feature Visualization
 
-**WIP**
+| **Tutorial Name**                      | Notebook                                                                                                                                                |
+| :------------------------------------- | :-----------------------------------------------------------------------------------------------------------------------------------------------------: |
+| Feature Visualization: Getting started | [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/drive/1st43K9AH-UL4eZM1S4QdyrOi7Epa5K8v) |
+| Modern Feature Visualization: MaCo     | [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/drive/1l0kag1o-qMY4NCbWuAwnuzkzd9sf92ic) |
diff --git a/docs/api/feature_viz/feature_viz.md b/docs/api/feature_viz/feature_viz.md
@@ -1,5 +1,9 @@
 # Feature Visualization
 
+<sub>
+    <img src="https://upload.wikimedia.org/wikipedia/commons/d/d0/Google_Colaboratory_SVG_Logo.svg" width="20">
+</sub> [View colab tutorial](https://colab.research.google.com/drive/1st43K9AH-UL4eZM1S4QdyrOi7Epa5K8v)
+
 One of the specificities of neural networks is their differentiability. This characteristic allows us to compute gradients, either the gradient of a loss with respect to the parameters, or in the case we are interested in here, of a part of the network with respect to the input.
 This gradient then allows us to iteratively modify the input in order to maximize an objective such as a neuron, a channel or a combination of objectives.
 

diff --git a/docs/api/feature_viz/maco.md b/docs/api/feature_viz/maco.md
@@ -1,5 +1,13 @@
 # Modern Feature Visualization (MaCo)
 
+<sub>
+    <img src="https://upload.wikimedia.org/wikipedia/commons/d/d0/Google_Colaboratory_SVG_Logo.svg" width="20">
+</sub> [View colab tutorial](https://colab.research.google.com/drive/1l0kag1o-qMY4NCbWuAwnuzkzd9sf92ic) |
+<sub>
+    <img src="https://upload.wikimedia.org/wikipedia/commons/9/91/Octicons-mark-github.svg" width="20">
+</sub> [View source](https://github.com/deel-ai/xplique/blob/master/xplique/features_visualizations/maco.py) |
+📰 [Paper](https://arxiv.org/pdf/2306.06805.pdf)
+
 Feature visualization has become increasingly popular, especially after the groundbreaking work by Olah et al. [^1], which established it as a vital tool for enhancing explainability. Despite its significance, the widespread adoption of feature visualization has been hindered by the reliance on various tricks to create interpretable images, making it challenging to scale the method effectively for deeper neural networks.
 
 Addressing these limitations, a recent method called MaCo [^2] offers a straightforward solution. The core concept involves generating images by optimizing the phase spectrum while keeping the magnitude of the Fourier spectrum constant. This ensures that the generated images reside in the space of natural images in the Fourier domain, providing a more stable and interpretable approach.

diff --git a/docs/tutorials.md b/docs/tutorials.md
@@ -66,6 +66,9 @@ Here is the lists of the availables tutorial for now:
 
 **WIP**
 
-## Features Visualizations
+## Feature Visualization
 
-**WIP**
+| **Tutorial Name**                      | Notebook                                                                                                                                                |
+| :------------------------------------- | :-----------------------------------------------------------------------------------------------------------------------------------------------------: |
+| Feature Visualization: Getting started | [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/drive/1st43K9AH-UL4eZM1S4QdyrOi7Epa5K8v) |
+| Modern Feature Visualization: MaCo     | [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/drive/1l0kag1o-qMY4NCbWuAwnuzkzd9sf92ic) |