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The tutorial provides an overview of top deep learning image and text classification models, such as CMA Clip, Clip Coca, MMBT, and Embrace Net. These models are used for multimodal image touch classification, particularly in e-commerce for product categorization. The input to these models is image and text pairs, resulting in a multi-modal system that outputs a class or embedding vector for various purposes. The tutorial emphasizes the significance of image and text classification in machine learning and software development, offering resources for further learning through social media platforms and newsletters.
