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@@ -36,7 +36,7 @@ Below there are two tasks. I highly recommend doing them because while watching
 
 ## Integration of the Keras API
 
-Actually, Keras is one of the greatest APIs on the planet for DeepLearning. Now Keras has been eaten up by TensorFlow. A bit sad, but in reality it doesn't make any difference since nearly everyone used Keras on top of TensorFlow anyway. So let's consider Keras to be part of TensorFlow (or TensorFlow to be part of Keras). The cool thing is, that you now can use the straightforward, and easy to use Keras API and still can claim to be a TensorFlow developer. Yeah, Google made Keras the official high level API of TensorFlow.
+Actually, Keras is one of the greatest APIs on the planet for DeepLearning. Now Keras has been eaten up by TensorFlow. A bit sad, but it doesn't make any difference since nearly everyone used Keras on top of TensorFlow anyway. So let's consider Keras to be part of TensorFlow (or TensorFlow to be part of Keras). The cool thing is, that you now can use the straightforward, and easy to use Keras API and still can claim to be a TensorFlow developer. Yeah, Google made Keras the official high level API of TensorFlow.
 
 So you might think, so what? Just some imports change. But this is only one part of the story. Yes, the imports changed, and as you can see later in the example, you can basically leave your existing Keras code intact most of the times and just change the import and you are done.