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Neural Networks and Deep Learning: Crash Course AI #3

Hi, I’m Jabril, and welcome to CrashCourse AI! In the supervised learning episode, we taught John Green-bot to learn using a perceptron, a program that imitates one neuron. But our brains make decisions with 100 billion neurons, which have trillions of connections between them! We can actually do a lot
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Neural Networks Demystified [Part 2: Forward Propagation]

Last time we set up our neural network on paper. This time we’ll implement it the programming language Python. We’ll build our network as a Python class. In our init method we’ll take care of instantiating important constants and variables. We’ll make these values accessible to the whole class by
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Recurrent Neural Networks – Ep. 9 (Deep Learning SIMPLIFIED)

What do you do if the patterns in your data change with time? In that case, your best bet is to use a recurrent neural network. This deep learning model has a simple structure with a built-in feedback loop, allowing it to act as a forecasting engine. Let’s take a
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