<ul><li>This article explains core NLP techniques using deep learning, including tokenization, embeddings, sequence modeling with RNNs, and transformers.</li><li>Natural Language Processing involves teaching machines to understand language structure, capture meaning and context, and perform tasks like translation, sentiment analysis, summarization, etc.</li><li>Deep learning enables machines to learn these tasks directly from data without manually designing rules.</li><li>Key techniques in NLP with deep learning include tokenization, embeddings, sequence modeling with RNNs, and transformers.</li></ul>

Natural Language Processing with Deep Learning

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