How to implement 2D depthwise/seperable convolution layer in 2017b?

2 次查看（过去 30 天）
Lucas Katzmann
Lucas Katzmann 2019-10-28
Hi!
I want to know, if anyone has an idea how to create a custom depthwise or seperable convolutionlayer with Matlab with the methods described here.
We have PCT and MDCS Licenses for 2017b and therefore I cannot use 2019b, where those layers are available. I was now thinking about implementing a custom layer which perfoms depthwise and pointwise convolution like the corespondig Keras layer seperable_conv2d. But at the moment I have no idea how to start.
I have sensordata timeseries and I want one kernel convolving over dimension "time" and the other convolving over dimension "sensors".
Can anybody help me?
Thanks!

请先登录，再回答此问题。

回答（0 个）

类别

在 Help Center 和 File Exchange 中查找有关 Image Data Workflows 的更多信息

标签

产品


版本

R2017b

Community Treasure Hunt

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

Start Hunting!

Translated by