How can I use deep learning to increase image recognition accuracy?
Using deep learning to increase image recognition accuracy involves training deep neural networks like convolutional neural networks (CNNs) on large datasets, fine-tuning model parameters, optimizing network architecture, and leveraging techniques like transfer learning to improve model performance and accuracy in image recognition tasks.