Scientific scripting in Java with JShellLab and application to deep learning using DeepLearning4j  

作　　者：Stergios Papadimitriou 

机构地区：[1]Computer Science Department International Hellenic University Kavala 65404,Greece

出　　处：《International Journal of Modeling, Simulation, and Scientific Computing》2020年第4期139-153,共15页建模、仿真和科学计算国际期刊（英文）

摘　　要：JShellLab is an easy to use MATLAB-like environment for the Java Virtual Machine(JVM).It implements scientific scripting based on the JShell Application Programming Interface(API)of modern Java.The paper illustrates that JShellLab can significantly facilitate and simplify the development of complex computational demanding scientific software at the JVM.The novelty at the JShellLab is that it completely hides the complexity and the intricate dependencies of optimized scientific software.As an example,the demanded field of deep learning is exploited.Specifically,the implementation of effective practical deep learning-based systems using the JShellLab environment and the Deeplearning4j Java library is considered.

关 键 词：Deep learning java virtual machine scientific scripting OpenBLAS convolutional neural networks. 

分 类 号：TP3[自动化与计算机技术—计算机科学与技术]