Architecture of ResNet50 for Autism prediction: Parameter extraction and fine-tuning details.
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https://figshare.com/articles/dataset/Architecture_of_ResNet50_for_Autism_prediction_Parameter_extraction_and_fine-tuning_details_/27272131
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The layers for which we extracted the parameters from the pre-trained model Med3d are named “Fixed”, and the layers for which we continued training the parameters to fine-tune the model and adapt it to the task of predicting Autism are named “Fine-tuned”. (CSV)
创建时间：
2024-10-21
