Muscarinic image recognition method and device based on deep residual network and transfer learning
An image recognition and transfer learning technology, applied in the field of image recognition, can solve the problems of complex artificial extraction features, large differences in the types of toadstools, and dependence on recognition results, saving training time, high recognition rate, and reducing requirements.
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[0033] In order to make the object, technical solution and advantages of the present invention clearer, the present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain the present invention, and do not limit the protection scope of the present invention.
[0034] The present embodiment provides a kind of method of image recognition of toadstool based on deep residual network and transfer learning, the method of image recognition of toadstool includes training set construction, network construction of image recognition of toadstool, training of image recognition network of toadstool and the training of toadstool image recognition network. The application of the image recognition model has four stages, and each stage is described in detail below.
[0035] Training set construction
[0036] In this embodiment, according to t...
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