Earlier, I had written about machine learning algorithms and how they struggle to do things that a 5-year-old can master: walking, speaking, and drawing.
This time, I go into much more detail and explore a particular type of machine learning algorithm: deep neural networks (DNNs). These brain-inspired algorithms are effective even on “natural world” tasks: translate between languages, drive cars and recognize cats and dogs.
Why do deep neural networks work so well? Where does their magic come from? I explore these questions + more in my new 16-minute video.
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