This course dives into the fundamentals of artificial neural networks, from the math to the basic models ... Read more

This course dives into the fundamentals of artificial neural networks, from the math to the basic models to applications and more complicated models. You’ll answer questions such as how a computer can distinguish between pictures of dogs and cats and learn to play great chess.

Using some inspiration from the human brain, linear algebra, and a bit of calculus, by the end of this course, you’ll gain an intuition for why these models work - not just a bunch of formulas.

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