深度学习算法结构的相关内容

文章 2023-05-27 来自：开发者社区

深度学习进阶篇-预训练模型4：RoBERTa、SpanBERT、KBERT、ALBERT、ELECTRA算法原理模型结构应用场景区别等详解

深度学习进阶篇-预训练模型[4]：RoBERTa、SpanBERT、KBERT、ALBERT、ELECTRA算法原理模型结构应用场景区别等详解 1.SpanBERT: Improving Pre-training by Representing and Predicting Spans 1.1. SpanBERT的技术改进点相比于BERT，SpanBERT主要是在预训练阶段进行了调整，如...

文章 2021-12-22 来自：开发者社区

深度学习与遗传算法的碰撞——利用遗传算法优化深度学习网络结构（详解与实现）

前言近年来，深度学习模型性能取得了飞跃，可以在单个网络中使用大量隐藏层。训练深度学习模型可能会占用大量计算资源，并且通常在图形处理单元（GPU）上进行，同时为了获得最优的模型性能，可能需要网络架构和超参数的反复修改和调整，通常此过程取决于实际问题和网络架构设计人员的经验，而利用遗传算法可以将此过程自动化，同时可以在可接受的时间开销内找到更好的网络架构。专门的深度学习库，例如 TensorFlow....

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更新时间 2024-02-17 10:22:52

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