PyTorch Tutorial Part 1 | Build a Neural Network Training Loop from Scratch
Автор: PracticalPython
Загружено: 2024-11-03
Просмотров: 43
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Welcome to Part 1 of my PyTorch training loop tutorial series!
In this video, we build a complete training loop from scratch in Python using PyTorch. You’ll see how to go step by step—from setting up data, to defining a neural network, to optimizing its parameters with backpropagation.
Here's what I cover:
The essential structure of a PyTorch training loop
How to set up data, models, and optimizers
A beginner-friendly introduction—no GPU or prior PyTorch experience required
The goal here is clarity: by the end, you’ll have a working loop you can adapt to your own projects. I keep the vibe calm and focused, teaching coding in a space that feels approachable, like you’re learning at a cozy desk with some lofi in the background.
Continue to Part 2 here: [ • Leveling Up Your PyTorch Training Loop (Pa... ]
If you’re starting your neural network journey, this is the perfect place to begin. Subscribe to join me as we keep building and adding features step by step!
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