Chapter
The Continued Progress of Neural Networks
31:44 - 43:13 (11:28)
The exploration of feed-forward neural networks, recurrent neural networks and convolutional neural networks has aided in solving image recognition and natural language processing. These kind of networks led to the neural network advancements today.
Clips
Physicists hope that biology will provide true insights that don't require understanding all molecular details, and Hopfield Networks gave insights on how learned things can be expressed, even if it didn't provide a reasonable description of the learning process.
31:44 - 33:47 (02:02)
Summary
Physicists hope that biology will provide true insights that don't require understanding all molecular details, and Hopfield Networks gave insights on how learned things can be expressed, even if it didn't provide a reasonable description of the learning process. The concept of forming representations that are robust for error correction is useful in biology, and the BIPAPER enabled this robustness.
ChapterThe Continued Progress of Neural Networks
Episode#76 – John Hopfield: Physics View of the Mind and Neurobiology
PodcastLex Fridman Podcast
The use of feed-forward neural networks, recurrent neural networks, and convolutional neural networks have been prevalent in solving image recognition, natural language processing, and other tasks.
33:51 - 39:40 (05:48)
Summary
The use of feed-forward neural networks, recurrent neural networks, and convolutional neural networks have been prevalent in solving image recognition, natural language processing, and other tasks. Backpropagation and other forms of learning in these networks have led to a greater understanding of artificial neural networks and its relationship to learning in the brain.
ChapterThe Continued Progress of Neural Networks
Episode#76 – John Hopfield: Physics View of the Mind and Neurobiology
PodcastLex Fridman Podcast
Marvin Minsky believes that consciousness is overrated and can be explained as a flat neural network without many layers or depth.
39:42 - 43:13 (03:30)
Summary
Marvin Minsky believes that consciousness is overrated and can be explained as a flat neural network without many layers or depth. However, humans still have the ability to create a rich narrative based on general knowledge and anchor points of correct information.