Multi-task neural network architecture searching method based on evolutionary computation
A neural network and evolutionary computing technology, applied in the field of neural networks, can solve problems affecting model performance, etc.
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[0059] The specific embodiments of the present invention are described below so that those skilled in the art can understand the present invention, but it should be clear that the present invention is not limited to the scope of the specific embodiments. For those of ordinary skill in the art, as long as various changes Within the spirit and scope of the present invention defined and determined by the appended claims, these changes are obvious, and all inventions and creations using the concept of the present invention are included in the protection list.
[0060] A multi-task neural network architecture search method based on evolutionary computing, such as figure 1 shown, including the following steps:
[0061] S1. Initialize a model population with multiple multi-task neural network individuals;
[0062] Specifically, in the embodiment, in order to better represent the connection relationship of feature fusion between different backbone networks, a matrix gene encoding st...
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