how to ensemble 5 different deep learning model with majority voting?
here i saw ensemble deep learning models and they get better results in ensemble learning
https://blogs.mathworks.com/deep-learning/2019/06/03/ensemble-learning/
now i try 5 different deep learning system (for example: resnet, darknet, xception, alexnet, sequeezneet) for my image dataset (for example tumor detection healthy show "0" tumour shows"1" in dataset. i get accuracyresults for these networks but i coudn’t find prediction matrix. so my aim is applying majority voting on these 5 deep learning networks and improve my results?
do you have any suggestions?here i saw ensemble deep learning models and they get better results in ensemble learning
https://blogs.mathworks.com/deep-learning/2019/06/03/ensemble-learning/
now i try 5 different deep learning system (for example: resnet, darknet, xception, alexnet, sequeezneet) for my image dataset (for example tumor detection healthy show "0" tumour shows"1" in dataset. i get accuracyresults for these networks but i coudn’t find prediction matrix. so my aim is applying majority voting on these 5 deep learning networks and improve my results?
do you have any suggestions? here i saw ensemble deep learning models and they get better results in ensemble learning
https://blogs.mathworks.com/deep-learning/2019/06/03/ensemble-learning/
now i try 5 different deep learning system (for example: resnet, darknet, xception, alexnet, sequeezneet) for my image dataset (for example tumor detection healthy show "0" tumour shows"1" in dataset. i get accuracyresults for these networks but i coudn’t find prediction matrix. so my aim is applying majority voting on these 5 deep learning networks and improve my results?
do you have any suggestions? ensemble, deep learning MATLAB Answers — New Questions
