---
title: "Discussion on \"# I Finally *Saw* Backpropagation — By Building It From Scratch\" | Hashnode"
description: "Discussion on \"# I Finally *Saw* Backpropagation — By Building It From Scratch\". I knew the maths but something felt off. So I built backprop from scratch using a Value class — and finally understood what PyTorch actually does."
url: "https://hashnode.com/posts/i-finally-saw-backpropagation-by-building-it-from-scratch/6a40e9be7c2cb592d8a721fc"
---

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# [\# I Finally \*Saw\* Backpropagation — By Building It From Scratch](https://backpropdiaries.hashnode.dev/i-finally-saw-backpropagation-by-building-it-from-scratch?utm_source=hashnode&utm_medium=feed)

I knew the maths but something felt off. So I built backprop from scratch using a Value class — and finally understood what PyTorch actually does.

Jun 28 · 6 min read · backpropdiaries.hashnode.dev  
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## Written by

[Sudhanshu Kumar](https://hashnode.com/@shadowbyte07)

@shadowbyte07 · Delhi, India

  
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Let us learn and build AI.

2nd year CSE (AI specialization) student building things I wish existed. I work at the intersection of LLMs, agentic AI, and full-stack development. I've built a multimodal agentic system with triple-LLM orchestration, a RAG-based study companion with spaced repetition and knowledge graph visualization, a full-stack habit tracker with XP and analytics, and I'm designing Aira — a modular AI OS connecting 8+ specialized agents through a shared orchestration layer. On this blog I write about what I actually build and learn — technical deep-dives into RAG pipelines and LangGraph workflows, honest build logs of projects in progress, and tutorials on the AI/ML concepts I'm figuring out as I go. I believe the best way to understand something is to build it, break it, and then write about why it broke. Stack: Python • LangChain • LangGraph • Flask • React • FAISS • MongoDB • SQLite • AWS

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