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文章 2022-02-17 来自：开发者社区

将强化学习用于深度学习选模型+调参：谷歌AutoML背后的技术解析

AutoML 是 Google 最新的产品，能够根据问题自动确定最优参数和网络结构。本文章就关注解析 AutoML 背后的技术，由于 AutoML 缺乏技术文档，我们的解析有不到之处，还请多多更正。罗马不是一天建成的。AutoML 并非一蹴而就，而是 Google 的研究者在过去几年不断思考中产生的理论与实践结合的完美产物。下图是 Google 的 AutoML 探索之路。人工网...

文章 2022-02-17 来自：开发者社区

对抗思想与强化学习的碰撞-SeqGAN模型原理和代码解析

1、背景 GAN作为生成模型的一种新型训练方法，通过discriminative model来指导generative model的训练，并在真实数据中取得了很好的效果。尽管如此，当目标是一个待生成的非连续性序列时，该方法就会表现出其局限性。非连续性序列生成，比如说文本生成，为什么单纯的使用GAN没有取得很好的效果呢？主要的屏障有两点： 1）在GAN中，Generator是通过随机抽样作为开始，....

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更新时间 2024-07-02 18:00:48

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