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Author:

李玉鑑 (李玉鑑.) | 刘超 (刘超.)

Indexed by:

incoPat zhihuiya

Abstract:

本发明公开了基于卷积‑循环混合网络的图像描述模型的一体化训练生成方法,该方法主要是把卷积神经网络与循环神经网络联合起来进行一体化训练,分别对卷积神经网络与循环神经网络进行构建,然后使用TensorFlow框架对两者进行联合训练,该方法的使用大大优化了训练过程,只需要在准备原始图片与相应文本作为输入,即可完成整体训练,并且达到了两个网络参数同时进行更新的效果,使结果得到更好的效果。

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Patent Info :

Type: 发明申请

Patent No.: CN201810314897.3

Filing Date: 2018-04-10

Publication Date: 2018-09-21

Pub. No.: CN108564122A

Applicants: 北京工业大学

Legal Status: 驳回

Cited Count:

WoS CC Cited Count: 0

SCOPUS Cited Count:

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 5

Affiliated Colleges:

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