Phase 3: Frameworks & Debugging · ~75 minutes · Python

Introduction to PyTorch

You built the engine from pistons and crankshafts. Now learn the one everyone actually drives.

Hiring signal: Understanding of introduction to pytorch internals

What you will learn

Build and train neural networks using PyTorch's nn.Module, nn.Sequential, and autograd
Use PyTorch tensors, GPU acceleration, and the standard training loop (zero_grad, forward, loss, backward, step)
Convert your from-scratch mini framework components to their PyTorch equivalents
Profile and compare training speed between your pure-Python framework and PyTorch on the same task

Introduction

Type: Build Languages: Python Prerequisites: Lesson 03.10 (Build Your Own Mini Framework) Time: ~75 minutes

Learning Objectives

Build and train neural networks using PyTorch's nn.Module, nn.Sequential, and autograd
Use PyTorch tensors, GPU acceleration, and the standard training loop (zero_grad, forward, loss, backward, step)
Convert your from-scratch mini framework components to their PyTorch equivalents
Profile and compare training speed between your pure-Python framework and PyTorch on the same task

Unlock the full lesson

You've read the first 2 sections. The rest of this lesson covers The Problem, The Concept, Build It, Use It, Ship It, Exercises, Key Terms, Further Reading — plus a hands-on lab, quiz, and project artifact.

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