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How to efficiently identify images? AI small attention-comment browsing the collection of B-side product managers need more considering the functionality, stability, safety, compliance of the product, etc The easy -to -use of the product on the basis of the neural network (how does CNN complete the Rich People Phone Number List image recognition task? This article introduces its related basic principles to take a look The basic concept of the neural network above is introduced today Today, we look at the convolutional neural network based on the neural network (how CNN completes the image recognition task First, the pain point of image recognition is





The amount of data that needs to be processed with difficulty images is too large The picture is composed of each pixel composed of pixels The color of the mobile phone with p, g, B It is huge The variable content of the picture leads to the low accuracy If the same object is treated with the same object, and the location transformation, the objects are displayed in different attitudes Although the object itself does not change much, it has greatly improved the picture recognition Difficulty And CNN can effectively solve these two problems It can not only significantly reduce the number of parameters and reduce the complexity; it can also be used to retain image features in a similar visual processing method Even if the image is flipped and moved, it can be effectively