February 2019
Beginner to intermediate
308 pages
7h 42m
English
In Chapter 4, Cats Versus Dogs – Image Classification Using CNNs, we started our first neural network project in the domain of image recognition and computer vision. Specifically, we created a CNN that is able to classify images of cats and dogs.
We saw how digital images are essentially two-dimensional arrays (for grayscale images), with each array value representing the intensity of each pixel. CNNs are the go-to neural network architecture for most image recognition problems. The filtering and convolution operation in the CNN is used to identify important spatial features in the images, which makes it suitable for image recognition problems. CNNs have gone through several iterations and ...
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