From 7db8fe9b045686cc020e2d60dda52c0ede01db74 Mon Sep 17 00:00:00 2001 From: Matt McKay Date: Wed, 20 Nov 2024 10:48:33 +1100 Subject: [PATCH] fix minor typos (#198) --- lectures/keras.md | 6 +----- 1 file changed, 1 insertion(+), 5 deletions(-) diff --git a/lectures/keras.md b/lectures/keras.md index 1702af9..10824e9 100644 --- a/lectures/keras.md +++ b/lectures/keras.md @@ -22,7 +22,7 @@ using a neural network. We will use the popular deep learning library [Keras](https://keras.io/), which provides a simple and elegant interface to deep learning. -The emphasis in Keras on providing an intuitive API, while the heavy lifting is +The emphasis in Keras is on providing an intuitive API, while the heavy lifting is done by another library. Currently the backend library can be Tensorflow, PyTorch, or JAX. @@ -62,10 +62,6 @@ from keras.models import Sequential from keras.layers import Dense ``` -```{code-cell} ipython3 -Dense? -``` - ## Data First let's write a function to generate some data.