Hi Matthias,
I'm currently reading the dml script MNIST LeNet example and got some
questions. I hope that you could help me out of them.
1) Is it possible to define a matrix containing the variables? Because I'm
wondering how to represent the model as a parameter for the "paramserv"
function.
Hi Guobao,
that sounds very good. In general, the "model" refers to the
collection of all weights and bias matrices of a given architecture.
Similar to a classic regression model, we can view the weights as the
"slope", i.e., multiplicative terms, while the biases are the
"intercept", i.e.,
Hi Matthias,
I'm currently reading the dml script MNIST LeNet example and got some
questions. I hope that you could help me out of them.
1) Is it possible to define a matrix containing the variables? Because I'm
wondering how to represent the model as a parameter for the "paramserv"
function.