In this episode, the Director of Architecture at NVIDIA, Dr. Magnus Ekman, joins Jon Krohn to discuss how machine learning, including deep learning, can optimize computer hardware design. The pair also review his exceptional book 'Learning Deep Learning.'

In this episode you will learn:

What hardware architects do [10:15]
How ML can optimize hardware speed [ 13:19]
Magnus’s Deep Learning Book [21:14]
Is understanding how ML models work important? [36:16]
Algorithms inspired by biological evolution [41:25]
How artificial general intelligence won’t be obtained by increasing model parameters alone [51:24]
Why there will always be a place for CNNs and RNNs [54:51]
How people can "transition" realistically into ML [1:09:15]

Additional materials: www.superdatascience.com/575

575: Optimizing Computer Hardware with Deep Learning 01:23:34 Share

Super Data Science: ML & AI Podcast with Jon Krohn

Shownotes Transcript

575: Optimizing Computer Hardware with Deep Learning