How to use BINARY Cross Entropy function in a dlnet

3 次查看（过去 30 天）

Theron FARRELL 2019-11-23

编辑： Theron FARRELL 2019-11-23

I tried to calculate a binary cross-entropy by

perf = crossentropy(net,targets,outputs,perfWeights)

Yet it seems it supports a normal net only, not a dlnet for custom training.

Plus, if I just stacked up layers of a net without having trained it, how can I convert a layer object into a neural network object? Is it possible?

Futhermore, there is a CATEGORICAL cross-entropy function supporting dlnet, but that is not what I want

dlY = crossentropy(dlX,targets)

Thanks.

在 Help Center 和 File Exchange 中查找有关 Deep Learning Toolbox 的更多信息

Find the treasures in MATLAB Central and discover how the community can help you!

Translated by