We generally think of plugging new input/output devices into a computer and turning it on to get something new. But with this model, the previously stored data is changed by the new parts, too.

So the feedforward stage of neural network processing is to take the external data into the input neurons, which apply their weights, bias, and activation function, producing the output that is ...

Techne, Tomas, and Anya learn how computers “talk” with us through input and output.

The defining characteristic of deep learning is that the model being trained has more than one hidden layer between the input and the output. In most discussions, deep learning means using deep ...