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5 Lessons

Deep Learning for NLP

Focus on this chapter's key concepts. Dive into each topic for a detailed understanding with examples and structured notes.

Recurrent Neural Networks (RNNs) and LSTMs/GRUs

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Sequence-to-sequence models and attention mechanism

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2 of 5 Lessons

Transformer architectures (Self-attention)

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3 of 5 Lessons

Pre-trained language models (BERT, GPT, T5)

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Fine-tuning and prompt engineering techniques

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NLP Applications
Deep Learning for NLP - Natural Language Processing | M.Tech Computer Science