Introduction In the field of deep learning, training models from scratch often requires vast amounts of data and computational resources. Transfer learning provides an efficient alternative by leveraging pre-trained models to solve new tasks with minimal additional training. This technique has been widely used in applications such as image classification, natural language processing (NLP), and […]
Exploring Transfer Learning with Python: Leveraging Pre-Trained Models for New Tasks
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