- Sequential Training of Neural Networks With Gradient Boosting

The generalization performance of the fine-tuned transfer learning models for each model (InceptionV3 and VGG16). And generalization and in-train performance of a one-layer GBNN and NN-trained models on the output of pre-trained models on the CIFAR-10.

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Reference

Sequential Training of Neural Networks With Gradient Boosting - Scientific Figure on ResearchGate. Available from: https://www.researchgate.net/figure/The-generalization-performance-of-the-fine-tuned-transfer-learning-models-for-each-model_tbl3_370394335 [accessed 2 Dec, 2023]

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The generalization performance of the fine-tuned transfer learning models for each model (InceptionV3 and VGG16). And generalization and in-train performance of a one-layer GBNN and NN-trained models on the output of pre-trained models on the CIFAR-10.

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<a href="https://www.researchgate.net/figure/The-generalization-performance-of-the-fine-tuned-transfer-learning-models-for-each-model_tbl3_370394335"><img src="https://www.researchgate.net/publication/370394335/figure/tbl3/AS:11431281154431904@1682790224631/The-generalization-performance-of-the-fine-tuned-transfer-learning-models-for-each-model.png" alt="The generalization performance of the fine-tuned transfer learning models for each model (InceptionV3 and VGG16). And generalization and in-train performance of a one-layer GBNN and NN-trained models on the output of pre-trained models on the CIFAR-10."/></a>