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Learn OpenCV 4 by Building Projects - Second Edition by Prateek Joshi, Vinicius G. Mendonca, David Millan Escriva

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Convolutional neural networks

Deep learning neural networks have the same background as the classical neural network. However, in the case of image analysis, the main difference is the input layer. In a classical machine learning algorithm, the researcher has to identify the best features that define the image target to classify. For example, if we want to classify numbers, we could extract the borders and lines of numbers in each image, measure the area of an object in an image, and all of these features are the input of the neural network, or any other machine learning algorithm. However, in deep learning, you don't have to explore what the features are; instead, you use whole image as an input of the neural network directly. Deep learning ...

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