Posts

Showing posts with the label NLP Deep Learning
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

By
Image
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
Post a Comment
Read more

PyTorch for Deep Learning - From Tensors to ANN Training

By
Image
NLP by Vinod - Deep Learning PyTorch Foundations PyTorch for Deep Learning - From Tensors to ANN Training. After NLP libraries, I moved into deep learning foundations and learned how PyTorch helps build neural networks using tensors, autograd, training loops, DataLoader, GPU training and hyperparameter tuning. PyTorch Tensors Autograd ANN
Post a Comment
Read more