![图片](https://image.jiqizhixin.com/uploads/editor/9320118f-5977-4ee0-b81a-61c64fb37577/640.png)
![图片](https://image.jiqizhixin.com/uploads/editor/09dffe69-5653-4019-99b2-c07bf3ec59ed/640.png)
![图片](https://image.jiqizhixin.com/uploads/editor/e1468dda-11d8-49d9-81dd-7dee8b2d7e09/640.png)
![图片](https://image.jiqizhixin.com/uploads/editor/7af0ac8f-6687-420d-b764-e04a451ac98f/640.png)
![图片](https://image.jiqizhixin.com/uploads/editor/3b312f03-ce0c-4694-a6db-db21cd823706/640.png)
![图片](https://image.jiqizhixin.com/uploads/editor/6f95dacf-8e1b-468d-90ad-3d43b9a23d72/640.png)
![图片](https://image.jiqizhixin.com/uploads/editor/65b78699-a8ab-4a67-a259-768a5cdfa9e6/640.png)
![图片](https://image.jiqizhixin.com/uploads/editor/325e9bef-f253-4a53-8a9e-d8148ffca513/640.png)
![图片](https://image.jiqizhixin.com/uploads/editor/f998bb22-f4da-4561-8221-c9b4e1ca5da0/640.png)
![图片](https://image.jiqizhixin.com/uploads/editor/83749854-964e-423e-a1dd-12fbc8ce5fdd/640.png)
![图片](https://image.jiqizhixin.com/uploads/editor/0bb41d20-bc00-4704-9578-335266f1c604/640.png)
![图片](https://image.jiqizhixin.com/uploads/editor/688025ed-2520-4422-b6fd-03787ea9d4ad/640.png)
![图片](https://image.jiqizhixin.com/uploads/editor/71af314c-dc04-4150-a2b5-f0bdaeb3d0a7/640.png)
![图片](https://image.jiqizhixin.com/uploads/editor/4669fed4-383a-419a-835f-07f727ecc677/640.png)
![图片](https://image.jiqizhixin.com/uploads/editor/f79b3da3-9417-4437-adc8-a940faca5a57/640.png)
![图片](https://image.jiqizhixin.com/uploads/editor/81dc3421-7887-4699-b96b-e2081c53a9db/640.png)
![图片](https://image.jiqizhixin.com/uploads/editor/dcca7708-6948-4856-9867-a25dcd2796a3/640.png)
![图片](https://image.jiqizhixin.com/uploads/editor/a12c8c11-8bc7-40ee-8632-8f60e5ebd967/640.png)
![图片](https://image.jiqizhixin.com/uploads/editor/cba3b788-3cda-4f09-aae7-b08396507d44/640.png)
![图片](https://image.jiqizhixin.com/uploads/editor/0c3b21a9-818a-49b3-8dd0-1f4aef6fd514/640.png)
![图片](https://image.jiqizhixin.com/uploads/editor/9c5b4b96-adfc-44a7-90a4-56e426bc708d/640.png)
![图片](https://image.jiqizhixin.com/uploads/editor/bd90f40f-a202-462a-86c2-230bcdc2dadf/640.png)
![图片](https://image.jiqizhixin.com/uploads/editor/fbc83526-5fac-4224-b25f-669dd71674cc/640.png)
Auto Byte
专注未来出行及智能汽车科技
微信扫一扫获取更多资讯
Science AI
关注人工智能与其他前沿技术、基础学科的交叉研究与融合发展
微信扫一扫获取更多资讯
我们什么时候能摆脱笨重的 VR 头显呢?
在数学,计算机科学和逻辑学中,收敛指的是不同的变换序列在有限的时间内达到一个结论(变换终止),并且得出的结论是独立于达到它的路径(他们是融合的)。 通俗来说,收敛通常是指在训练期间达到的一种状态,即经过一定次数的迭代之后,训练损失和验证损失在每次迭代中的变化都非常小或根本没有变化。也就是说,如果采用当前数据进行额外的训练将无法改进模型,模型即达到收敛状态。在深度学习中,损失值有时会在最终下降之前的多次迭代中保持不变或几乎保持不变,暂时形成收敛的假象。