At present, Convolutional Neural Networks (CNN), as one of the representative algorithms of deep learning, have achieved the best results in computer vision, classification and other fields.
Later, “AlphaGo”, an intelligent robot based on deep neural network and search tree, beat humans at Go, which was a big surprise given by CNN. A year later, Master completely abused all human go masters, reaching a god-like realm, human chess players have no chance to win.
It can be said that convolutional neural network is one of the most successful applications of deep learning algorithms.
At present, CNN is also widely used. For example, Facebook uses it for automated image tagging, Google uses it for photo retrieval, Amazon uses it for product recommendations, Pinterest uses it for personalized home customization feeds, and Instagram uses it to build their search architecture.
Therefore, the most classic and popular application based on CNN should be in the field of image processing. The study of classic papers on convolutional neural networks is essential to the study and research of convolutional neural networks.
Today, I would like to recommend some materials to you, including papers and knowledge maps.
Seven classic academic papers
Most of these papers were presented at top academic conferences on computer vision. These 7 papers contain more than 100P of content. Suggest collecting and learning.
01 resnet
02 CNN
03 batchnorm
04 alexnet
05 visualzing
06 resnet
07 yolo4
At present, more than 2000 students who have read this paper have successfully become algorithm engineers in various companies. Everyone scan code add can receive, wish you all study, job hunting smooth ~\
Each top 50 students will also get a computer vision skill tree knowledge map. Come scan and get it.
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