Image description generation method and device, model training method and device and storage media
A technology of image description and description information, applied in the field of machine learning, can solve the problem of inaccurate image description information, achieve the effect of accurate target image description information and improve accuracy
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[0029] In order to make the object, technical solution and advantages of the present invention clearer, the implementation manner of the present invention will be further described in detail below in conjunction with the accompanying drawings.
[0030] For ease of description, terms involved in each embodiment are briefly introduced below.
[0031] CNN (Convolution Neural Network, Convolutional Neural Network), is a feed-forward neural network that directly starts from the underlying pixel features of the image, and extracts the features of the image layer by layer. It is the most commonly used implementation model of the encoder, responsible for encoding the image into a vector.
[0032] RNN (Recurrent Neural Network, recursive neural network), is a neural network with fixed weights, external inputs and internal states, which can be regarded as the behavioral dynamics of internal states with weights and external inputs as parameters . RNN is the most commonly used implement...
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