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Practical Deep Learning for Coders


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Practical Deep Learning for Coders

This course covers topics such as how to:

  • Build and train deep learning models for computer vision, natural language processing, tabular analysis, and collaborative filtering problems
  • Create random forests and regression models
  • Deploy models
  • Use PyTorch, the world’s fastest growing deep learning software, plus popular libraries like fastai and Hugging Face
  • Foundations and Deep Dive to Diffusion Models ...

🔗 Link to Course - Part 1

🔗 Link to Course - Part 2

🔗 Link to Course - All Parts Together

 

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