From c953aec86d8b37e5b3fdfc230639a64ccfd62f28 Mon Sep 17 00:00:00 2001
From: lamipaul <paulobest25@gmail.com>
Date: Mon, 10 Jul 2023 11:12:11 +0200
Subject: [PATCH] specify generic embedder bottleneck in README

---
 new_specie/README.md | 1 +
 1 file changed, 1 insertion(+)

diff --git a/new_specie/README.md b/new_specie/README.md
index 6815798..70bb516 100755
--- a/new_specie/README.md
+++ b/new_specie/README.md
@@ -9,6 +9,7 @@ Vocalisation detection needs to be done prior to this process (stored in a .csv
 If you want to train your own auto-encoder (optional since the generic one might suffice), use `python train_AE.py detections.csv`
 
 Use trained auto-encoder weights to project your vocalisations with `python compute_embeddings.py generic_embedder.weights detections.csv`
+The architecture for the generic_embedder.weights is with a bottleneck of size 256
 
 Visualise vocalisation embeddings and resulting clusters with `python sort_cluster.py embeddings.npy detections.csv`
 
-- 
GitLab