资源算法Snapshot-Ensembles-Keras-Case-Study

Snapshot-Ensembles-Keras-Case-Study

2020-02-17 | |  32 |   0 |   0

Snapshot-Ensembles-Keras-Case-Study

快照集成是一种在不增加训练成本的前提下,提升模型效果的方法。

本文将使用Keras,利用余弦退火学习率实现快照集成(Snapshot Ensembles)

文章链接:https://zhuanlan.zhihu.com/p/93648558


上一篇:Snapshot-Ensembles-Improved-Keras

下一篇:deep_transfer_learning_nlp_dhs2019

用户评价
全部评价

热门资源

  • Keras-ResNeXt

    Keras ResNeXt Implementation of ResNeXt models...

  • seetafaceJNI

    项目介绍 基于中科院seetaface2进行封装的JAVA...

  • spark-corenlp

    This package wraps Stanford CoreNLP annotators ...

  • capsnet-with-caps...

    CapsNet with capsule-wise convolution Project ...

  • inferno-boilerplate

    This is a very basic boilerplate example for pe...