Deep Learning Repository

From Transformers to Production - A comprehensive guide to deep learning concepts and implementation

Overview

A structured learning path covering fundamental mathematics to production-ready deep learning systems. This repository provides hands-on notebooks and implementations for building modern AI applications.

Learning Path

Follow the numbered directories in sequence for a structured learning experience:

Module	Description
1. Math	Linear algebra, calculus, and probability fundamentals
2. PyTorch	Framework essentials and tensor operations
3. Neural Networks	Architecture design and implementation from scratch
4. Transformers	Attention mechanisms and modern NLP models
5. RAG	Building retrieval-augmented generation systems
6. OCR	Computer vision and text recognition applications

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