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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

RNN for Sequence Modeling - Why Neural Networks Need Memory

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NLP by Vinod - Deep Learning Sequence Models RNN for Sequence Modeling - Why Neural Networks Need Memory. After PyTorch and ANN training, I moved to Recurrent Neural Networks to understand why normal ANN and CNN models are not enough when the input is ordered sequential data like text. RNN Sequence Model PyTorch NLP
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NLP Learning Roadmap — From Fundamentals to Real-World AI Systems

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NLP Learning Roadmap — From Fundamentals to Real-World AI Systems NLP by Vinod • Foundations NLP Learning Roadmap NLP Learning Roadmap: My Structured Plan from Basics to Real AI Systems. A practical Natural Language Processing roadmap covering Python text processing, machine learning, deep learning, transformers, BERT, NLP projects, and deployment. NLP Machine Learning Deep Learning Python Roadmap
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