glouppe/info8010-deep-learning resource

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1292 stars · 333 forks observed · 2026-08-28

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Lecture materials and Jupyter notebook code for INFO8010 Deep Learning, a university course taught by Gilles Louppe at ULiège. It covers machine learning fundamentals, neural network training, CNNs, computer vision, and more with hands-on PyTorch notebooks.

Use cases

• learn deep learning from scratch
• university-level neural networks course materials
• pytorch tutorial notebooks for training neural networks
• understand convolutional neural networks and computer vision
• study automatic differentiation and backpropagation
• self-study machine learning fundamentals

When to choose

• you want structured, academically rigorous deep learning lectures
• you prefer learning with runnable Jupyter notebook examples in PyTorch
• you need free course material covering ML fundamentals through modern architectures

When to avoid

• you need production deep learning tooling rather than educational content
• you want a software library or framework to build applications with
• you need certification or instructor feedback from the actual course

Facets

learning-resource · maturity active

machine-learning deep-learning computer-vision deep-learning machine-learning tutorials education python cross-platform university-course lecture-notes jupyter-notebooks pytorch neural-networks

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