Unlocking the Power of Language: Deep Learning Techniques for NLP

This topic explores the intersection of deep learning and natural language processing (NLP), focusing on how neural networks can be applied to understand, interpret, and generate human language. It covers various deep learning architectures, such as recurrent neural networks (RNNs), long short-term memory (LSTM), and transformers, and their applications in tasks like text classification, sentiment analysis, machine translation, and question answering.

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