How to Reduce the Variance of Deep Learning Models in Keras Using Model Averaging Ensembles
https://machinelearningmastery.com/model-averaging-ensemble-for-deep-learning-neural-networks/
🔗 How to Reduce the Variance of Deep Learning Models in Keras Using Model Averaging Ensembles
Deep learning neural network models are highly flexible nonlinear algorithms capable of learning a near infinite number of mapping functions. A frustration with this flexibility is the high variance in a final model. The same neural network model trained on the same dataset may find one of many different possible “good enough” solutions each time …
https://machinelearningmastery.com/model-averaging-ensemble-for-deep-learning-neural-networks/
🔗 How to Reduce the Variance of Deep Learning Models in Keras Using Model Averaging Ensembles
Deep learning neural network models are highly flexible nonlinear algorithms capable of learning a near infinite number of mapping functions. A frustration with this flexibility is the high variance in a final model. The same neural network model trained on the same dataset may find one of many different possible “good enough” solutions each time …