"Image Classification Using Deep Neural Networks 1 - Basic Knowledge Tree"

My learning habit is to go from abstraction to concreteness, from system to node, and systematically sort out the main points of using DNN/CNN for image classification. If there are unfamiliar terms in the figure, it is the part that needs to be supplemented.
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Some books and materials were referred to in the process of making this picture, as follows:

"Core Image Recognition Technology and Case Combat in Deep Learning" – There are three words

"Mathematical Practice in Image Processing" – Zuo Fei

"Machine Learning for Intelligent Image Processing Using OpenCV and Python" --Michael Beyeler

https://neuralnetworksanddeeplearning.com/ I think the best BP principle explanation

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Origin blog.csdn.net/catscanner/article/details/109177750