From b28f81349f8b895b7e3597209d1ff1fad810a932 Mon Sep 17 00:00:00 2001 From: mmcky Date: Tue, 19 Nov 2024 17:00:54 +1100 Subject: [PATCH] fix incomplete sentence --- lectures/keras.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/lectures/keras.md b/lectures/keras.md index 5bfe433..cf64dbc 100644 --- a/lectures/keras.md +++ b/lectures/keras.md @@ -120,7 +120,7 @@ We supply functions to build two types of models. The first implements linear regression. This is achieved by constructing a neural network with just one layer, that maps -to a single dimension (since the prediction +to a single dimension (since the prediction is real-valued). The input `model` will be an instance of `keras.Sequential`, which is used to group a stack of layers into a single prediction model.