Make object of the deep learning tutorial clearer
This is a great tutorial, but I think it is weirdly explained in the current form. The largest part of the code is about implementing the actual sentiment analysis model, not about counting entities. (which is not even present in the `deep_learning_keras.py` script in `examples`)
@@ -4,9 +4,9 @@ include ../../_includes/_mixins
p
| In this example, we'll be using #[+a("https://keras.io/") Keras], as
- | it's the most popular deep learning library for Python. Let's assume
- | you've written a custom sentiment analysis model that predicts whether a
- | document is positive or negative. Now you want to find which entities
+ | it's the most popular deep learning library for Python. Using Keras,
+ | we will write a custom sentiment analysis model that predicts whether a
+ | document is positive or negative. Then, we will use it to find which entities
| are commonly associated with positive or negative documents. Here's a
| quick example of how that can look at runtime.
