- Deep Learning By Example
- Ahmed Menshawy
- 93字
- 2021-06-24 18:52:37
Prior knowledge
As discussed in the concepts of model selection and feature extraction, the two issues can be dealt with, if you have prior knowledge about:
- The appropriate feature
- Model selection parts
Having prior knowledge of the explanatory features in the fish recognition system enabled us to differentiate amid different types of fish. We can go promote by endeavoring to envision our information and get some feeling of the information types of the distinctive fish classifications. On the basis of this prior knowledge, apt family of models can be chosen.
推薦閱讀
- 基于LabWindows/CVI的虛擬儀器設(shè)計(jì)與應(yīng)用
- 深度學(xué)習(xí)中的圖像分類(lèi)與對(duì)抗技術(shù)
- 分布式多媒體計(jì)算機(jī)系統(tǒng)
- Ceph:Designing and Implementing Scalable Storage Systems
- Mastering Game Development with Unreal Engine 4(Second Edition)
- 網(wǎng)絡(luò)服務(wù)搭建、配置與管理大全(Linux版)
- 啊哈C!思考快你一步
- SMS 2003部署與操作深入指南
- AI的25種可能
- 大數(shù)據(jù)案例精析
- 未來(lái)學(xué)徒:讀懂人工智能飛馳時(shí)代
- 巧學(xué)活用Photoshop
- Microsoft 365 Mobility and Security:Exam Guide MS-101
- 從實(shí)踐中學(xué)嵌入式Linux操作系統(tǒng)
- 歐姆龍CP1H型PLC編程與應(yīng)用