반응형 mapping2 Linear Transformation Transformation A transformation, function, or mapping, T maps an input x to an output y Mathematical notation: T: x -> y Domain: Set of all the possible values of x (정의역) Co-domain: Set of all the possible values of y (공역) Image: a mapped output y, given x Range: Set of all the output values mapped by each x in the domain (치역) Note: the output mapped by a particular x is uniquely determined. Lin.. 2023. 1. 3. Deep Learning Basics Lecture2: Neural Networks & Multi-Layer Perceptron Neural Networks "Neural networks are computing system as vaguely inspired by the biological neural networks that constitute animal brains." Neural networks are function approximators that stack affine transformations followed by nonlinear transformations. ex) GoogLeNet, ResNet Linear Neural Networks We compute the partial derivatives w.r.t the optimization variables. Then, we iteratively update .. 2023. 1. 3. 이전 1 다음 반응형
