Framework Origins
Yann discusses the foundational concepts behind modern machine learning frameworks, highlighting the innovative idea of connecting objects in a graph for automatic differentiation. He reflects on how their early work laid the groundwork for popular tools like Torch and PyTorch, emphasizing the importance of a tensor engine and a user-friendly front end. This conversation provides a fascinating glimpse into the evolution of these essential technologies.In this clip
From this podcast
The Gradient
Yann LeCun on his Start in Research and Self-Supervised Learning
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