DenseNet-121
收藏arXiv2025-09-30 收录
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https://pytorch.org/vision/stable/models.html#densenet
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资源简介：
该数据集采用了DenseNet-121深度神经网络模型，该模型在图像分类任务中表现出色，其特点是由多个具有跳跃连接的密集块组成。此外，该模型在ImageNet数据集上进行了训练，且未进行额外的调优工作。其主要的任务是进行图像分类。
This dataset employs the DenseNet-121 deep neural network model, which delivers outstanding performance in image classification tasks and features multiple dense blocks with skip connections. Furthermore, this model was trained on the ImageNet dataset without any additional fine-tuning, and its core task is image classification.
提供机构：
Torchvision
