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Free Download An Introduction to Image Classification: From Designed Models to End-to-End Learning
English | 2024 | ISBN: 9819978815 | 481 Pages | PDF EPUB (True) | 71 MB
Image classification is a critical component in computer vision tasks and has numerous applications. Traditional methods for image classification involve feature extraction and classification in feature space. Current state-of-the-art methods utilize end-to-end learning with deep neural networks, where feature extraction and classification are integrated into the model. Understanding traditional image classification is important because many of its design concepts directly correspond to components of a neural network. This knowledge can help demystify the behavior of these networks, which may seem opaque at first sight.
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