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How to build a Deep Learning model using word2vec for Natural Language Processing

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How to build a Deep Learning model using word2vec for Natural Language Processing

with Sebagam

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How to build a Deep Learning model using word2vec for Natural Language Processing

  • English
  • Artificial Intelligence
  • Natural Language ProcessingNatural Language Processing
  • (981)
  • Project length: 3h 36m

In this course, we are going to use word2vec to extract features from text data and employ them in Deep Learning models

Overview

Introduction

First, you are going to have a brief introduction to the subject. Then, we are going to do NLP preprocessing to finally build our Deep Learning model.

What are the requirements?

  • Deep Learning
  • Machine Learning

What is the target audience?

  • Data Scientists

Project Outline

The project outline explains what you will learn in each session

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In this video we are going to learn the basics of word2vec on how it is applied for Natural Language Processing.

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