How to build a Deep Learning model using word2vec for Natural Language Processing
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 Processing- 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
Go to Video
In this video we are going to learn the basics of word2vec on how it is applied for Natural Language Processing.