Handwritten letter recognition method based on lightweight deep learning network
A deep learning network and recognition method technology, which is applied in the field of handwritten letter recognition based on lightweight deep learning network and channel state information, can solve the problems of large model parameters and calculations, and is not suitable for embedded device operation. Less resource occupation, accurate feature extraction, and good efficiency
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[0031] In order to make the purpose, technical effects and technical solutions of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the accompanying drawings in the embodiments of the present invention; obviously, the described embodiments It is a part of the embodiment of the present invention. It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention.
[0032] A light-weight deep learning network handwritten letter recognition method based on channel state information provided by an embodiment of the present invention, such as figure 1 As shown, it specifically includes the following steps:
[0033] Step 1, handwritten letter data collection
[0034] Step 1.1: Use the Intel 5300 network card to collect the channel state information CSI of ordinary ...
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