From e2828ed61db8e39e6122dcd424892142727e1c9c Mon Sep 17 00:00:00 2001 From: SOVIETIC-BOSS88 Date: Fri, 17 Apr 2020 11:03:35 +0200 Subject: [PATCH] Update 05_pet_breeds.ipynb Grammar change: that we working with -->> that we are working with --- 05_pet_breeds.ipynb | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/05_pet_breeds.ipynb b/05_pet_breeds.ipynb index 495edcf..d6c9bc3 100644 --- a/05_pet_breeds.ipynb +++ b/05_pet_breeds.ipynb @@ -53,7 +53,7 @@ "source": [ "In our very first model we learnt how to classify dogs versus cats. Just a few years ago this was considered a very challenging task. But today, it is far too easy! We will not be able to show you the nuances of training models with this problem, because we get the nearly perfect result without worrying about any of the details. But it turns out that the same dataset also allows us to work on a much more challenging problem: figuring out what breed of pet is shown in each image.\n", "\n", - "In the first chapter we presented the applications as already solved problems. But this is not how things work in real life. We start with some dataset which we know nothing about. We have to understand how it is put together, how to extract the data we need from it, and what that data looks like. For the rest of this book we will be showing you how to solve these problems in practice, including all of these intermediate steps necessary to understand the data that we working with and test our modelling as we go.\n", + "In the first chapter we presented the applications as already solved problems. But this is not how things work in real life. We start with some dataset which we know nothing about. We have to understand how it is put together, how to extract the data we need from it, and what that data looks like. For the rest of this book we will be showing you how to solve these problems in practice, including all of these intermediate steps necessary to understand the data that we are working with and test our modelling as we go.\n", "\n", "We have already downloaded the pets dataset. We can get a path to this dataset using the same code we saw in <>:" ]