This symbol represents the matrix containing the weights and biases of a layer in a neural network.
This symbol represents the matrix containing the weights and biases of a layer in a neural network. Its dimensions are defined by the size of the input and the output.
The symbol, \(\mathbf{W}\), represents the matrix containing the weights and biases of a layer in a neural network. Its dimensions are defined by the size of the input and the output. If a layer takes in \(a\) inputs and results in \(b\) outputs, then \(\mathbf{W}\) \(b\) rows and \(a+1\) columns. The additional column accommodates the biases of each entry.