Deep Learning for Computer Vision

Artificial neural network (ANN)

ANN is a collection of perceptrons and activation functions. The perceptrons are connected to form hidden layers or units. The hidden units form the nonlinear basis that maps the input layers to output layers in a lower-dimensional space, which is also called artificial neural networks. ANN is a map from input to output. The map is computed by weighted addition of the inputs with biases. The values of weight and bias values along with the architecture are called model.

The training process determines the values of these weights and biases. The model values are initialized with random values during the beginning of the training. The error is computed using a loss function by contrasting it with the ground truth. ...