
Photo: YouTube
About This Video
This video was uploaded to the YouTube channel Singularity Prosperity in September 2020.
In the last video in this series, we discussed the biologically inspired structure of deep leaning neural networks and built up an abstracted model based on that. We then went through the basics of how this model is able to form representations from input data.
The focus of this video then will continue right where the last one left off, as we delve deeper into the structure and mathematics of neural nets to see how they form their pattern recognition capabilities.
This video was made possible by Brilliant. Be one of the first 200 people to sign up with this link and get 20% off your premium subscription with Brilliant.org.
About Singularity Prosperity
The Singularity Prosperity is a YouTube channel for those who want to know more about the innovations being made across the world, understand the impact certain technologies will have on society, utilise technology as a tool to better their lives and work together towards building a post-scarcity society.
The world has been changing at an accelerating rate since the industrial revolution, and this rate of change is only bound to increase as various technologies begin to converge with their own respective exponential trends. These technologies include quantum computing, virtual reality and artificial intelligence.
Watch more from Singularity Prosperity on YouTube
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