1.大DL:
BigDL 是 Apache Spark 的分布式深度学习库框架。在这里,用户可以将他的深度学习应用程序编写为标准的 Spark 程序。为了方便构建 Spark 和 BigDL 应用程序,为端到端分析 + AI 管道提供了高级 Analytics Zoo。它由英特尔的 Jason Dai 创建并托管在 GitHub。它为深度学习提供全面支持,并在每个 Spark 任务中使用英特尔 MKL 和多线程编程。
2.咖啡:
Caffe 代表快速特征嵌入的卷积架构。它是一个深度学习框架,由加州大学伯克利分校的伯克利视觉与学习中心开发。它是开源的,在 BSD 许可下。它是在Python接口中用C++ 编写的。它是一个广泛使用的机器视觉库,将 Matlab 的最快卷积网络实现移植到 C 和 C++。它不适用于其他深度学习应用程序,例如文本、声音或时间序列数据。
BigDL 和 Caffe 的区别:
S.No. | BigDL | Caffe |
---|---|---|
1. | It was created by Jason Dai. | It was created by Berkeley Vision and Learning Center. |
2. | It was launched in 2016. | It was launched in 2013. |
3. | It is written in Scala language. | It is written in C++ language. |
4. | Server operating systems for BigDL is Apache Spark. | Server operating systems for Caffe are Linux, macOS and Windows. |
5. | Its software license is Apache 2.0 . | Its software license is BSD. |
6. | It does not support Compute Unified Device Architecture. | It supports Compute Unified Device Architecture. |
7. | It is compatible with Scala and Python interface. | It is compatible with MATLAB, C++ and Python interface. |