Skip to main content

Table 1 A list of parameters and hyperparameters in a convolutional neural network (CNN)

From: Convolutional neural networks: an overview and application in radiology

  Parameters Hyperparameters
Convolution layer Kernels Kernel size, number of kernels, stride, padding, activation function
Pooling layer None Pooling method, filter size, stride, padding
Fully connected layer Weights Number of weights, activation function
Others   Model architecture, optimizer, learning rate, loss function, mini-batch size, epochs, regularization, weight initialization, dataset splitting
  1. Note that a parameter is a variable that is automatically optimized during the training process and a hyperparameter is a variable that needs to be set beforehand