Convolution is probably the most important concept in deep learning right now. It was convolution and convolutional nets that catapulted deep learning to the forefront of almost any machine learning task there is. But what makes convolution so powerful? How does it work?
It talks about net neutrality years before the current issue. Not to mention IPv6 that is an important issue for 20 years now. Or non-latin TLDs. Or intellectual property (IP) on the internet.
It's just amazing to see how things changed over the years (he mentioned that Android was 'just released') and how some thing are still current after so much time.
Worth watching if you haven't seen it.
- petru maiorpresent
- reea.netcode poetry, present
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