Natural Language Processing

📰 Medium · Deep Learning

Learn Natural Language Processing from text basics to sequence models like RNN, LSTM, and GRU, and understand how they solve memory problems in NLP

beginner Published 27 Jul 2026
Action Steps
  1. Read the article to understand the basics of text and NLP
  2. Explore the code-driven walkthrough of NLP concepts
  3. Implement RNN, LSTM, and GRU models using popular deep learning libraries
  4. Experiment with different sequence models to solve memory problems in NLP
  5. Apply NLP concepts to real-world problems, such as text classification and language translation
Who Needs to Know This

Data scientists, machine learning engineers, and NLP enthusiasts can benefit from this article to improve their understanding of NLP fundamentals and sequence models

Key Insight

💡 LSTMs and GRUs were invented to fix the memory problems of plain RNNs in NLP tasks

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🤖 Learn NLP from basics to sequence models like RNN, LSTM, and GRU! 📚

Key Takeaways

Learn Natural Language Processing from text basics to sequence models like RNN, LSTM, and GRU, and understand how they solve memory problems in NLP

Full Article

Title: Natural Language Processing

URL Source: https://medium.com/@danthalaswanthana/natural-language-processing-d8feb4d17ac2?source=rss------deep_learning-5

Published Time: 2026-07-27T07:49:35Z

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## Danthalaswanthana

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# Natural Language Processing

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Jul 27, 2026

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**From Text to Sequence Models — — RNN, LSTM & GRU**

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_A complete, beginner-friendly, code-driven walkthrough of NLP — — starting from what text even is to a computer, all the way to why LSTMs and GRUs were invented to fix the memory problems of plain
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