Training a neural network is the process of finding a set of weight and bias values so that for a given set of inputs, the outputs produced by the neural network are very close to some target values.

In context: Modeling sounds in a VR environment is extremely complex. For example, striking a wine glass at different points will produce different sounds. Likewise, a falling plate shattering is not ...

Artificial Neural Network (ANN) are highly interconnected and highly parallel systems. Back Propagation is a common method of training artificial neural networks so as to minimize objective function.

Realistic sound rendering can directly impact the perceived realism of users of interactive media applications. An accurate acoustic response for a virtual environment is attuned according to the ...

Training a neural network is the process of finding a set of weight and bias values so that for a given set of inputs, the outputs produced by the neural network are very close to some target values.