Vision Transformer(ViT)实践项目,图像分类任务,“猫狗大战”(猫狗分类)

上传者: 68608661 | 上传时间: 2024-03-08 23:03:44 | 文件大小: 218.41MB | 文件类型: RAR
利用ViT模型实现图像分类,本项目具有强大的泛化能力,可以实现任何图像分类任务,只需要修改数据集和类别数目参数。这里采用的是开源的“猫狗大战”数据集,实现猫狗分类。 本项目适用于Transformer初学者,通过该实践项目可以对于ViT模型的原理和结构有清晰地认识,并且可以学会在具体项目中如何运用ViT模型。本项目代码逻辑结构清晰,通俗易懂,适用于任何基础的学习者,是入门深度学习和了解Transformer注意力机制在计算机视觉中运用的绝佳项目。

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