maziarraissi/Applied-Deep-Learning resource

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3558 stars · 740 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded

A two-semester graduate-level Applied Deep Learning course by Maziar Raissi, provided as lecture notes (PDFs) and YouTube playlists covering training deep neural networks, computer vision, and other state-of-the-art industry techniques. The repository hosts course materials rather than software, with assignments in Python using TensorFlow and PyTorch.

Use cases

• learn applied deep learning from a structured course
• find lecture notes on training deep neural networks
• study computer vision topics like image classification and transfer learning
• supplement a graduate ML course with free video lectures
• get a curriculum covering industry deep learning practices

When to choose

• you want a free, comprehensive deep learning curriculum with videos and notes
• you have a strong background in probability, statistics, linear algebra, and optimization
• you prefer theory-backed academic course material with Python/TensorFlow/PyTorch assignments

When to avoid

• you need runnable software, a library, or production code
• you are a complete beginner without linear algebra and statistics background
• you need actively updated content, as the course materials date from 2023

Facets

learning-resource · maturity stable

deep-learning machine-learning computer-vision nlp deep-learning machine-learning tutorials education python course lecture-notes youtube tensorflow pytorch graduate-level

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markdown · JSON · MCP: product_card(name="maziarraissi/Applied-Deep-Learning")