Developing a Topic Classification Model Using TensorFlow
This prompt guides you on developing a deep learning model using TensorFlow to classify the topics of news articles in Python. It provides a step-by-step approach to building, training, and evaluating a model for topic classification. By following this prompt, you can gain practical experience in using TensorFlow for text classification tasks. The resulting model will be able to assign predefined topics to news articles based on their content, aiding in content organization, automated news summarization, and many other applications.
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