diff --git a/doc/api.rst b/doc/api.rst
index 41fc340f311746d5585e6448126fbfbafe853899..5bfd2b2ff89183687536b4a65a85f8ef0591588d 100644
--- a/doc/api.rst
+++ b/doc/api.rst
@@ -82,7 +82,7 @@ CNN and other models implemented.
    ptbench.models.densenet
    ptbench.models.normalizer
    ptbench.models.logistic_regression
-   ptbench.models.signs_to_tb
+   ptbench.models.mlp
 
 
 .. _ptbench.api.engines:
diff --git a/doc/config.rst b/doc/config.rst
index 34025f7f70d8a05299c67491c1115c06674c67ff..cedc8c0760a99467952171b791f17f06c39c0366 100644
--- a/doc/config.rst
+++ b/doc/config.rst
@@ -26,8 +26,8 @@ Models
    ptbench.models.config.densenet_pretrained
    ptbench.models.config.densenet_rs
    ptbench.models.config.logistic_regression
+   ptbench.models.config.mlp
    ptbench.models.config.pasa
-   ptbench.models.config.signs_to_tb
 
 
 .. _ptbench.config.datamodules:
diff --git a/doc/usage/training.rst b/doc/usage/training.rst
index 67b3918cee7640bdee8f0277ec5390142163c21e..5eb974cc9a0e0723f9e9e72ba4c183b0c582daf2 100644
--- a/doc/usage/training.rst
+++ b/doc/usage/training.rst
@@ -61,12 +61,13 @@ Montgomery dataset:
    ptbench train -vv logistic_regression montgomery_rs --batch-size=4 --epochs=20
 
 
-To train Signs_to_TB using predictions from DensenetForRS on the Shenzhen
+To train an multi-layer perceptron (MLP) using predictions from a densenet
+pre-trained to detect radiological findings (using NIH CXR-14), on the Shenzhen
 dataset:
 
 .. code:: sh
 
-   ptbench train -vv signs_to_tb shenzhen_rs --batch-size=4 --epochs=20
+   ptbench train -vv mlp shenzhen_rs --batch-size=4 --epochs=20
 
 
 .. include:: ../links.rst