Abstract
Based on the wide application of neural network in image recognition and character recognition, this paper introduces three kinds of neural network models, compares and analyzes the performance of different neural network models in practical application. This paper first introduces the development of neural networks, especially the convolutional neural network, and the principles of the three neural network models in detail. Then building and training the three models that are based on the analysis. Finally, through experimental simulation, it shows that convolutional neural network has an outstanding advantage in handwritten digital image recognition.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
