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In this course, you'll learn to build and train text classification models using PyTorch, starting with simple architectures and progressing to deep learning models. You'll fine-tune transformer models like BERT, handle complex classification tasks, and optimize model performance using transfer learning. Evaluation metrics will be used to measure model effectiveness.
