Skip to content

Commit

Permalink
docs: typo and new images
Browse files Browse the repository at this point in the history
  • Loading branch information
mthiboust committed Nov 29, 2023
1 parent 7dfa392 commit 2b2ee77
Show file tree
Hide file tree
Showing 5 changed files with 2 additions and 2 deletions.
2 changes: 1 addition & 1 deletion README.md
Original file line number Diff line number Diff line change
Expand Up @@ -91,7 +91,7 @@ I am currently working on different ways to extend the basic SOM algorithm:
* **Inputs**: In addition to classic bottom-up driving inputs, a SOM could also receive lateral contextual or top-down modulatory inputs.
* **Weighted inputs**: Each data point from inputs can be weighted so that fuzzy data is weighted less for the winner selection.
* **Dynamics**: When receiving continuous inputs in time, past activations can influence the computation of the next step.
* **Supervized and self-supervized learning**: Top-down inputs and next inputs in time can act as teaching signal for supervized and self-supervized learning.
* **Supervised and self-supervised learning**: Top-down inputs and next inputs in time can act as teaching signal for supervised and self-supervised learning.
* **Multi-agent system**: Each SOM is an agent of a mutli-agent system where thousands of SOMs interact with each other.

Some of these features will land on an other library that depends on ***Somap***.
Expand Down
Binary file added docs/demo1.png
Loading
Sorry, something went wrong. Reload?
Sorry, we cannot display this file.
Sorry, this file is invalid so it cannot be displayed.
Binary file added docs/demo_custom.png
Loading
Sorry, something went wrong. Reload?
Sorry, we cannot display this file.
Sorry, this file is invalid so it cannot be displayed.
2 changes: 1 addition & 1 deletion docs/index.md
Original file line number Diff line number Diff line change
Expand Up @@ -87,7 +87,7 @@ I am currently working on different ways to extend the basic SOM algorithm:
* **Inputs**: In addition to classic bottom-up driving inputs, a SOM could also receive lateral contextual or top-down modulatory inputs.
* **Weighted inputs**: Each data point from inputs can be weighted so that fuzzy data is weighted less for the winner selection.
* **Dynamics**: When receiving continuous inputs in time, past activations can influence the computation of the next step.
* **Supervized and self-supervized learning**: Top-down inputs and next inputs in time can act as teaching signal for supervized and self-supervized learning.
* **Supervised and self-supervised learning**: Top-down inputs and next inputs in time can act as teaching signal for supervised and self-supervised learning.
* **Multi-agent system**: Each SOM is an agent of a mutli-agent system where thousands of SOMs interact with each other.

Some of these features will land on an other library that depends on ***Somap***.
Expand Down
Binary file added docs/social.png
Loading
Sorry, something went wrong. Reload?
Sorry, we cannot display this file.
Sorry, this file is invalid so it cannot be displayed.

0 comments on commit 2b2ee77

Please sign in to comment.