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hi hello everyone welcome to todays session in today session we are going to see how to create an ensemble model for image classification in deep learning what is an example model in example model is combining different models together for the image classification task instead of creating a single model and trying to improve the accuracy of that model it is always better to create multiple models which can be which can extract different features because each model has its own advantages and disadvantages so you can use multiple models and try to combine the predictions of those models now how will you combine the predictions of these models there are different techniques to combine the predictions either you can take a simple average or you can take weighted average when you will go for weighted averages when a particular model performs very well but particular model does not performs very well you can give a high weightage for model for high performing model and low weightage for th