Daniel Bourke
Machine Learning Engineer
Independent machine learning engineer and educator with over 350,000 YouTube subscribers. Author of the landmark open-source book and video course 'Learn PyTorch for Deep Learning' used by hundreds of thousands of engineers worldwide.
Areas of focus
Professional niches
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Proof of Work
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.
Context: PyTorch 2.x, TorchVision, CUDA, transfer learning with EfficientNet and ViT.
View missionNutrio: 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.
Context: CoreML, MobileNetV3, iOS Swift integration, PyTorch quantization.
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