深度学习实践算法的相关内容

文章 2023-06-16 来自：开发者社区

深度学习实践篇[17]：模型压缩技术、模型蒸馏算法：Patient-KD、DistilBERT、DynaBERT、TinyBERT

深度学习实践篇[17]：模型压缩技术、模型蒸馏算法：Patient-KD、DistilBERT、DynaBERT、TinyBERT 1.模型压缩概述 1.2模型压缩原有理论上来说，深度神经网络模型越深，非线性程度也就越大，相应的对现实问题的表达能力越强，但相应的代价是，训练成本和模型大小的增加。同时，在部署时，大模型预测速度较低且需要更好的硬件支持。但随着深度学习越来越多的参与到产业中，...

文章 2023-01-07 来自：开发者社区

【pytorch深度学习实践】笔记—03-1.梯度下降算法

梯度的引入与思考【问题1】为什么要引入梯度下降，梯度下降是用来解决什么问题的？【思考】回忆一下在笔记02中我们是如何找到的w？对，是穷举！我们是在[0.0,4.0]区间，每隔0.1取一个值，穷举了所有w的可能取值，根据w-loss图像得出结论：loss最小时，w=2。在实际情况中，一方面我们很可能一开始就无法确定w的大致范围，进而导致没办法穷举w的值。另一方面，权重W也可能是多维的，一一穷举会很....

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