**Affine Layer**

A fully-connected layer in a Neural Network. ^{1} Affine means that each neuron in the previous layer is connected to each neuron in the current layer. In many ways, this is the “standard” layer of a Neural Network. Affine layers are often added on top of the outputs of Convolutional Neural Networks or Recurrent Neural Networks before making a final prediction. An affine layer is typically of the form y = f(Wx + b) where x are the layer inputs, W the parameters, b a bias vector, and f a nonlinear activation function

**Sources**

“Deep Learning Glossary.”

*WildML*, 8 Sept. 2017, www.wildml.com/deep-learning-glossary/ (1)