The Connectionist Revival: Geoffrey Hinton's Backpropagation Breakthrough

カートのアイテムが多すぎます

ご購入は五十タイトルがカートに入っている場合のみです。

カートに追加できませんでした。

しばらく経ってから再度お試しください。

ウィッシュリストに追加できませんでした。

しばらく経ってから再度お試しください。

ほしい物リストの削除に失敗しました。

しばらく経ってから再度お試しください。

ポッドキャストのフォローに失敗しました

ポッドキャストのフォロー解除に失敗しました

The Connectionist Revival: Geoffrey Hinton's Backpropagation Breakthrough

無料で聴く

ポッドキャストの詳細を見る

Explore the pivotal 1986 breakthrough that revolutionized artificial intelligence in this episode of The Pioneers. Host Daniel Cole examines Geoffrey Hinton's role in popularizing backpropagation, the mathematical technique that ended AI's winter and launched the modern deep learning revolution. During the 1980s, neural networks were largely abandoned by the AI research community, but Hinton and fellow connectionists persisted with their vision of brain-inspired computing. Their refinement of backpropagation algorithms enabled multi-layered neural networks to learn complex patterns, laying the groundwork for today's AI systems. This episode traces the journey from academic obscurity through decades of gradual progress to eventual vindication, when backpropagation became the foundation for breakthrough applications in image recognition, natural language processing, and game-playing AI. Learn how Hinton's persistence through multiple AI winters exemplifies the long arc of scientific innovation, and discover why the 'godfather of deep learning' now advocates for careful development of the powerful technology he helped create. Perfect for listeners interested in AI history, computer science breakthroughs, and the personalities behind transformative technologies.

まだレビューはありません