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In today's tutorial, Siddharthan demonstrates how to build a dog vs cat classification system using transfer learning, a key concept in deep learning that involves using pre-trained models. The tutorial specifically uses the MobileNetV2 model to classify images of dogs and cats. Transfer learning allows for faster and more efficient model training by leveraging pre-existing knowledge. The video will also cover the workflow for this project and include a hands-on demonstration in Python.
