- Hands-On Meta Learning with Python
- Sudharsan Ravichandiran
- 99字
- 2021-07-02 14:29:20
Summary
In this chapter, we have learned what siamese networks are and how to build face and audio recognition models using siamese networks. We explored the architecture of siamese networks, which basically consists of two identical neural networks both having the same weights and architecture and the output of these networks is plugged into some energy function to understand the similarity.
In the next chapter, we will learn about prototypical networks and the variants of the same, such as Gaussian prototypical and semi prototypical networks. We will also see how to use prototypical networks for omniglot character set classification.
推薦閱讀
- 大數據技術基礎
- LibGDX Game Development Essentials
- 數據庫應用實戰
- 數據挖掘原理與實踐
- Developing Mobile Games with Moai SDK
- Learn Unity ML-Agents:Fundamentals of Unity Machine Learning
- 數據架構與商業智能
- 軟件成本度量國家標準實施指南:理論、方法與實踐
- OracleDBA實戰攻略:運維管理、診斷優化、高可用與最佳實踐
- 云原生數據中臺:架構、方法論與實踐
- Hadoop集群與安全
- Spark分布式處理實戰
- Spring Boot 2.0 Cookbook(Second Edition)
- 利用Python進行數據分析(原書第2版)
- Oracle 11g數據庫管理員指南