Daniel Bourke
Machine Learning Engineer
Verified Proof of Work Artifacts
2 items catalogedEach artifact below represents an authenticated research publication, production code repository, or technical architectural framework directly authored or co-created by Daniel Bourke. Every entry undergoes editorial source verification.
Learn PyTorch for Deep Learning: Zero to Mastery
Authored and recorded the 25-hour open-access PyTorch curriculum covering tensors, neural networks, computer vision, transfer learning, and model deployment.
Focuses on foundational vision and classification rather than distributed pre-training of 70B+ LLMs.
Nutrio: Food Vision AI Mobile Application Architecture
Created the open-source PyTorch textbook repository with 15k+ stars and engineered Nutrio, an offline edge computer vision app for automated dietary nutrition tracking.
Edge model accuracy is constrained by real-world mixed-plate food segmentation ambiguity.