Convolution Class

Convolutional Neural Networks are very similar to ordinary Neural Networks. They are made up of neurons that have learnable weights and biases. Each neuron receives some inputs, performs a dot product and optionally follows it with a non-linearity. The whole network still expresses a single differentiable score function: from the raw image pixels on one end to class scores at the other. And they still have a loss function (e.g. SVM/Softmax) on the last (fully-connected) layer and all the tips/tricks we developed for learning regular Neural Networks still apply.

Namespace:  SiaNet.NN
Assembly:  SiaNet (in SiaNet.dll)

Syntax


public class Convolution
Public Class Convolution
public ref class Convolution

Inheritance Hierarchy


Object
  SiaNet.NN..::..Convolution