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NLP by Vinod

A structured public journey from NLP fundamentals to real-world AI systems.

Vinod Codes is where I document my learning in AI, Machine Learning, Deep Learning, Natural Language Processing, Generative AI, and practical projects.

The main series here is NLP by Vinod — a learner-builder journey where I explain concepts with intuition, Python examples, mistakes, GitHub work, and honest implementation notes.

Start here: follow the Foundations Track first, then move into deep learning, transformers, projects, and real-world NLP systems.
NLP Foundations Python for NLP Machine Learning Deep Learning Real Projects
Start with the NLP Roadmap View GitHub Repository

LSTM for Sequence Modeling - Long-Term Memory in Neural Networks

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NLP by Vinod - Deep Learning Sequence Models LSTM for Sequence Modeling - Long-Term Memory in Neural Networks. After RNNs, I learned why simple recurrence struggles with long sequences and how LSTM improves memory using gates, cell state and hidden state. LSTM Sequence Model Cell State PyTorch
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