---
title: "Discussion on \"PyTorch Zero to One: Why I Built a CNN from Scratch (and What It Taught Me That Transfer Learning Wouldn't)\" | Hashnode"
description: "Discussion on \"PyTorch Zero to One: Why I Built a CNN from Scratch (and What It Taught Me That Transfer Learning Wouldn't)\". A software engineer's hands-on approach to understanding CNN feature extraction, regularization, and overfitting — no pretrained backbones allowed."
url: "https://hashnode.com/posts/pytorch-zero-to-one-why-i-built-a-cnn-from-scratch-and-what-it-taught-me-that-transfer-learning-wouldn-t/69c856407cf27065107388fb"
---

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# [PyTorch Zero to One: Why I Built a CNN from Scratch (and What It Taught Me That Transfer Learning Wouldn't)](https://kelvinintech.hashnode.dev/pytorch-zero-to-one-why-i-built-a-cnn-from-scratch-and-what-it-taught-me-that-transfer-learning-wouldn-t?utm_source=hashnode&utm_medium=feed)

A software engineer's hands-on approach to understanding CNN feature extraction, regularization, and overfitting — no pretrained backbones allowed.

Mar 28 · 6 min read · kelvinintech.hashnode.dev  
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## Written by

[Kelvin R. Tobias](https://hashnode.com/@kelvinintech)

@kelvinintech · Greenville, NC

  
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Engineering Leader | Writer | Software Developer | Advocate for Neurodiversity

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