We live in two worlds. That is, our brains perceive the world in two ways. With our eyes, we see, and so one world involves images. With our ears, we hear language and later on learn to use our eyes to read the written word.
Let’s take images first, where a form of deep learning called a Convolutional Neural Network (CNN) holds sway.1
For an overview of how computers can learn to process and “understand” images, look for two TED talk titles. The first title is The Wonderful and Terrifying Implications of Computers That Can Learn by Jeremy Howard (December 2014). Howard is a data scientist, the former president of Kaggle, and is currently the founder of Fast.ai. His TED talk is about 20 minutes and has been seen by over 2.4 ...
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