NLP with Deeplearning4j

Course Code

w2vdl4j

Duration

14 hours (usually 2 days including breaks)

Requirements

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 is an open-source, distributed deep-learning library written for Java and Scala. Integrated with Hadoop and Spark, DL4J is designed to be used in business environments on distributed GPUs and CPUs.

Word2Vec is a method of computing vector representations of words introduced by a team of researchers at Google led by Tomas Mikolov.

Audience

This course is directed at researchers, engineers and developers seeking to utilize Deeplearning4J to construct Word2Vec models.

Course Outline

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

Bookings, Prices and Enquiries

Guaranteed to run even with a single delegate!

Private Classroom

From £2900

Private Remote

From £2600 (98)

Public Classroom

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