NLP with Deeplearning4j培训

课程编码

w2vdl4j

课程时长

14 小时 通常来说是2天,包括中间休息。

要求

Knowledge of Deep Learning, and one of the following languages:

  • Java
  • Scala

and the following software:

  • Java (developer version) 1.7 or later (Only 64-Bit versions supported)
  • Apache Maven
  • IntelliJ IDEA or Eclipse
  • Git

 

课程概览

Deeplearning4j是一个为JavaScala编写的开源分布式深度学习库。 DL4J与Hadoop和Spark集成,旨在用于分布式GPU和CPU的业务环境。

Word 2Vec是一种计算由Tomas Mikolov领导的Go ogle研究团队引入的单词矢量表示的方法。

听众

本课程面向寻求利用Deeplearning4J构建Word 2Vec模型的研究人员,工程师和开发人员。

Machine Translated

课程大纲

Getting Started

  • DL4J Examples in a Few Easy Steps
  • Using DL4J In Your Own Projects: Configuring the POM.xml File

Word2Vec

  • Introduction
  • Neural Word Embeddings
  • Amusing Word2vec Results
  • the Code
  • Anatomy of Word2Vec
  • Setup, Load and Train
  • A Code Example
  • Troubleshooting & Tuning Word2Vec
  • Word2vec Use Cases
  • Foreign Languages
  • GloVe (Global Vectors) & Doc2Vec

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