Explained In A Minute: Neural Networks

Imagine a Neural Network as a kind of black box, which takes one or multiple inputs like the sensors of a self-driving car, processing them into one or multiple outputs like the controls of that car. The neural network itself consists of many small units called “Neurons”. These Neurons are
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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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