Figure 1. Input and output for sound. When a sensor detects one or more signals (input), it converts those signals to an analog or digital representation for the actuator to receive.

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.

The network “learns” to perform better by consuming input, passing it up through the ranks of neurons, and then comparing its final output against known results, which are then fed backwards ...

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 ...

This input-process-output mechanism is called neural network feed-forward. ... Attendees will learn how to use AI skills and grounding techniques to enable conversational data access -- quickly and ...