Application of Deep Learning Neural Networks in Sports Shoe Brand Classification Task

In recent years, deep learning has gained widespread attention and importance due to its outstanding performance in image feature learning. The rapid development of machine learning and deep learning has provided a powerful tool for handling complex classification problems and has achieved significant results. The development of neural network algorithms has also benefited from the progress in deep learning research. Deep learning is a machine learning method based on multi-layer neural network structures, which improves the modeling capability for complex data and tasks by increasing the depth and complexity of the network. For the task of classifying shoe brands, deep learning can help neural network models better understand features such as appearance, texture, and brand logos of shoes, as well as identify other everyday items to assist in their classification. After identifying the items, using different optimizers can improve the accuracy of classification, enabling more effective classification decisions.