AI: Machine Learning & Model Training
PyTorch from zero: training neural networks | Sri AI
Intermediate
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Course overview
Write, train, debug and save neural networks in PyTorch, the framework almost every open model is built in.
Level: Intermediate · Mode: Part-time
Who this course is for
Students moving from classic ML into deep learning.
What you will learn
- Write training loops from scratch
- Train image and text classifiers
- Use GPUs efficiently
- Save, load and share trained models
Syllabus
- Module 1: Tensors
- Module 2: The training loop
- Module 3: Classification
- Module 4: Computer vision with PyTorch
- Module 5: Custom datasets
- Module 6: Transfer learning
- Module 7: Experiment tracking
Final project
Every module ends in hands-on practice, and the course ends with a project you build and present. Your certificate names that project.
Before you start
Machine learning for absolute beginners.
Open-source tools you will use
Adapts open material from mrdbourke/pytorch-deep-learning (MIT).