Chapter
The Roots of Artificial Neural Networks
27:42 - 35:49 (08:07)
The development of neural networks as a form of parallel computation was revolutionary in the field of computer science and paved the way for machine learning applications we use today. Jeffrey Hinton played a significant role in this development alongside other notable figures.
Clips
Geoffrey Hinton, a pioneer in the development of artificial neural networks, explains the importance of neural networks for machine learning and how he used the idea of a neural network to better understand the human mind.
27:42 - 31:20 (03:37)
Neural Networks
Summary
Geoffrey Hinton, a pioneer in the development of artificial neural networks, explains the importance of neural networks for machine learning and how he used the idea of a neural network to better understand the human mind.
ChapterThe Roots of Artificial Neural Networks
Episode#222 – Jay McClelland: Neural Networks and the Emergence of Cognition
PodcastLex Fridman Podcast
The concept of massively parallel computation, where each neuron in a layer simultaneously computes a portion of the input, remains at the core of questions surrounding the capabilities of deep learning and other advancements in neural networks.
31:20 - 35:49 (04:29)
Neural Networks
Summary
The concept of massively parallel computation, where each neuron in a layer simultaneously computes a portion of the input, remains at the core of questions surrounding the capabilities of deep learning and other advancements in neural networks.