A quick dive into a cutting-edge computational method for learning. See more...
To make a computer “learn”, we just need some inspiration from the human brain, linear algebra, and a bit of calculus. By stringing together many simple units, we can build a system (or "network") that is able to solve surprisingly complex problems.
In this exploration of artificial neural networks, you’ll gain an intuition for why these models work - not just a bunch of formulas.
A refresher on vectors, matrices, and optimization.
The building block of many neural networks.
Stringing it all together.
Coming Soon!Using a model's outputs to train it to do even better.
Coming Soon!Get your feet wet with a real-world application.
Coming Soon!A look into recurrent and stochastic ANNs, and other advanced considerations.
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