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Mastering Java for Data Science

You're reading from   Mastering Java for Data Science Analytics and more for production-ready applications

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Product type Paperback
Published in Apr 2017
Publisher Packt
ISBN-13 9781782174271
Length 364 pages
Edition 1st Edition
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Author (1):
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Alexey Grigorev Alexey Grigorev
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Alexey Grigorev
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Toc

Deep learning for cats versus dogs

While MNIST is a very good dataset for educational purpose, it is quite small. Let's take a look at a different image recognition problem: given a picture, we want to predict if there is a cat on the image or a dog.

For this, we will use the dataset with dogs and cats pictures from a competition run on kaggle, and the dataset can be downloaded from https://www.kaggle.com/c/dogs-vs-cats.

Let's start by first reading the data.

Reading the data

For the dogs versus cats competition, there are two datasets; training, with 25,000 images of dogs and cats, 50% each, and testing. For the purposes of this chapter, we only need to download the training dataset. Once you have downloaded it, unpack it somewhere.

The filenames...

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