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Practical Deep Learning for Coders Part 2: Deep Learning Foundations to Stable Diffusion

by fast.ai

An advanced video course that builds deep learning components from scratch and works up to implementing Stable Diffusion.

Cost

Free

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Part 2 has over 30 hours of video across lessons 9 to 25 plus two bonus lessons. It covers implementing diffusion models such as DDPM and DDIM from scratch, building a training framework, optimizers, initialization, attention and transformers, and reading research papers. fast.ai announced it would be available free online.

Format
Self-paced
Level
Advanced
Credential
No credential
Prerequisites
Completion of Part 1 or equivalent confidence with PyTorch, training loops and modern vision and NLP methods.

Cost

  • Free

    Basis:
    Free

    Checked by AI Training FinderUpdated Source

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