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Deep Learning for Image Recognition: Core Algorithms and Practical Cases (Full Color Edition)

Author: YAN Yousan
Subject:Computer Science
Publication Date:2023.07.01
Page Count:396

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This book consists of nine chapters. It starts with the basic concepts of deep learning, including the fundamentals of neural networks and optimization techniques in deep learning. It then systematically covers data-related knowledge in deep learning. Following that, it focuses on image recognition, presenting deep learning’s core technologies and applications in the three fields of image classification, image segmentation, and object detection. In addition, it elaborates on the visualization of deep learning models. Finally, leveraging the WeChat Mini Program platform, the book delves into the deployment of deep learning models. Combining theory with practice, this book encompasses profound knowledge with an extensive breadth, highly suitable for professionals and enthusiasts in the field of deep learning.

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