Backpropagation: The Math Behind Modern AI
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YouTubeInsightforge | AI & Data Science
Backpropagation: The Math Behind Modern AI
Every breakthrough in deep learning traces back to one deceptively simple idea: backpropagation. 🧠 Without it, modern AI - from computer vision to large language models - simply wouldn’t exist. Backpropagation may feel like a modern invention, but its roots go much deeper. In 1974, Paul Werbos formally described the method in his PhD ...
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#TECH: Geoffrey Hinton Says AI Has Been “Underhyped” in Recent Years Speaking at the GITEX AI Europe event, AI pioneer Geoffrey Hinton reflected on decades of AI hype cycles, recalling the optimism of the 1980s when backpropagation first gained traction and researchers overestimated how quickly progress would arrive. While acknowledging that early enthusiasm sometimes ran ahead of reality, Hinton argued that today’s situation is different. In his view, the rapid advances of the past few years me
0:24
#TECH: Geoffrey Hinton Says AI Has Been “Underhyped” in Recent Years Speaking at the GITEX AI Europe event, AI pioneer Geoffrey Hinton reflected on decades of AI hype cycles, recalling the optimism of the 1980s when backpropagation first gained traction and researchers overestimated how quickly progress would arrive. While acknowledging that early enthusiasm sometimes ran ahead of reality, Hinton argued that today’s situation is different. In his view, the rapid advances of the past few years me
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