Extracting (ranked) softmax values for each validation image

4 次查看（过去 30 天）
M J
M J 2020-8-18
回答： Srivardhan Gadila 2020-8-23
Hi everyone,
I trained a model (fine tuning) to classify 10 types of images. I was just wondering if there was a simple way to return, say, a matrix containing all validation images (with their respective names/labels) and their predictive scores (classification confidence) ?
Thank you !
Best regards.

请先登录，再回答此问题。

采纳的回答

Srivardhan Gadila
Srivardhan Gadila 2020-8-23
Use the activations function to get the output of softmaxLayer & use the max function to get the maximum of all scores i.e., score of the predicted class. Also I think you can use the same Name-Value Pair Arguments & Syntax used for predict function. You can refer to Visualize Activations of a Convolutional Neural Network for more examples on the usage of activations function.

更多回答（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

Community Treasure Hunt

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

Start Hunting!

Translated by