Computer Vision and Image Classification
Deep learning has achieved amazing results in computer vision and natural language processing. Computer vision is a field that involves analyzing digital images. A digital image is a matrix composed of pixels. Each pixel has a value between 0 and 255 and this value represents the intensity of the pixel. An image can be black and white and have only one channel. But it can also have colors, and in that case, it will have three channels for the colors red, green, and blue. This digital version of an image that can be fed to a deep learning model.
There are multiple applications of computer vision, such as image classification (recognizing the main object in an image), object detection (localizing different objects in an image), and image segmentation (finding the edges of objects in an image). In this book, we will only look at image classification.
In the next section, we will look at a specific type of architecture: CNNs.
