Udemy

Platform

English

Language

Data Science

Category

Deep learning: A Natural Language Processing Bootcamp

Learn NLP the RIGHT WAY!

3.90 (10 reviews)

Deep learning: A Natural Language Processing Bootcamp

Students

1.5 hours

Content

Jul 2021

Last Update
Regular Price

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What you will learn

Natural Language Processing

Deep Learning

Machine Learning

Sentiment Analysis

Tensorflow

Neural Networks


Description

This Course will teach you Natural Language Processing with TensorFlow

This class will teach you the basics of NLP like:

  • Tokenization (Part 1)

  • Word Embeddings (Part 2)

  • RNN's (Part 3)

  • Sequence Models (Part 4)

You will also learn how to use TensorFlow For NLP and Deep Learning.

By end of this course, you will learn how to build a Sentiment Classifier and a program that can write like a real poet!

This course is very hands-on and you will be learning everything there is about basic NLP.

For those of you who like to dig deep into the theory to understand how things really work, you know this is my specialty and there will be no shortage of that in this course. We’ll be covering the state of the art algorithms like word embeddings, tokenization, and deep learning.

This course is best suited for students who are curious about NLP and want to try it out.

"If you can't implement it, you don't understand it"

  • Or as the great physicist Richard Feynman said: "What I cannot create, I do not understand".

  • My courses will take you every step of the way so that you understand and implement the concepts correctly.

Suggested Prerequisites:

  • Just know some basic arithmetic

  • Have a good grasp of Python Programming

  • Know the basics of using TensorFlow


Content

Part 1

Welcome

Introduction

Neural Network

Google Colab

Tokenization

Coding: Tokenization

Vocabulary

OOV

Coding: OOV

Padding

Coding: Padding

Sarcasm Dataset

Coding: Sarcasm Dataset

Class Project

Wrap up!


Reviews

K
Kirit12 July 2021

Wish the code shown in the video would be put in the notes section so that I can copy and paste and follow along / experiment. Otherwise, the explanations in the video are good!


4090604

Udemy ID

5/31/2021

Course created date

6/4/2021

Course Indexed date
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