Cursos de NLP with Deeplearning4j

Código do Curso

w2vdl4j

Duration

14 hours (usually 2 days including breaks)

Requisitos

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

 

Overview

Deeplearning4j é uma biblioteca de aprendizagem profunda distribuída e de código aberto, escrita para Java e Scala . Integrado com o Hadoop e o Spark, o DL4J foi projetado para ser usado em ambientes de negócios em GPU e CPUs distribuídas.

Word 2Vec é um método de computação de representações vetoriais de palavras introduzidas por uma equipe de pesquisadores da Go ogle liderada por Tomas Mikolov.

Público

Este curso é dirigido a pesquisadores, engenheiros e desenvolvedores que procuram utilizar o Deeplearning4J para construir modelos do Word 2Vec.

Machine Translated

Programa do Curso

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

Declaração de Clientes

★★★★★
★★★★★

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