Build Movie Review Classification with BERT and Tensorflow

Build Movie Review Classification with BERT and Tensorflow, available at $39.99, has an average rating of 4.05, with 19 lectures, based on 10 reviews, and has 119 subscribers.

You will learn about At the end of my course students will be able to build movie review classification engine This course is ideal for individuals who are Beginner Python Developers who are curious about text classification It is particularly useful for Beginner Python Developers who are curious about text classification.

Enroll now: Build Movie Review Classification with BERT and Tensorflow

Summary

Title: Build Movie Review Classification with BERT and Tensorflow

Price: $39.99

Average Rating: 4.05

Number of Lectures: 19

Number of Published Lectures: 19

Number of Curriculum Items: 19

Number of Published Curriculum Objects: 19

Original Price: $22.99

Quality Status: approved

Status: Live

What You Will Learn

At the end of my course students will be able to build movie review classification engine

Who Should Attend

Beginner Python Developers who are curious about text classification

Target Audiences

Beginner Python Developers who are curious about text classification

Learn to build Moview Review Classifier engine with BERT and TensorFlow 2.4

Build a strong foundation in Deep learning text classifiers with this tutorial for beginners.

Understanding of movie review classification

Learn word embeddings from scratch

Learn BERT and its advantages over other technologies

Leverage pre-trained model and fine-tune it for the questions classification task

Learn how to evaluate the model

User Jupyter Notebook for programming

Test model on real-world data

A Powerful Skill at Your Fingertips  Learning the fundamentals of text classification h puts a powerful and very useful tool at your fingertips. Python and Jupyter are free, easy to learn, have excellent documentation. Text classification is a fundamental task in the natural language processing (NLP) world.

No prior knowledge of word embedding or BERT is assumed. I’ll be covering topics like Word Embeddings, BERT, and Glove from scratch.

Jobs in the NLP area are plentiful, and being able to learn text classification with BERT will give you a strong edge. BERT is state of art language model and surpasses all prior techniques in natural language processing.

Google uses BERT for text classification systems. Text classifications are vital in social media.  Learning text classification with BERT and Tensorflow 2.4 will help you become a natural language processing (NLP) developer which is in high demand.

Content and Overview  

This course teaches you how to build a movie review classification engine using open-source Python, Tensorflow 2.4, and Jupyter framework.  You will work along with me step by step to build a movie review classification engine

Word Embeddings

? Word2Vec

? One hot encoding

? Glove

? BERT

Build Application

? Download dataset

? Download pre-trained model

? Fine Tune Model on IMDB movie review dataset

? Model Evaluation

? Testing Model on real-world data

What am I going to get from this course?

Learn movie review classification with BERT  and Tensorflow 2.4 from a professional trainer from your own desk.

Over 10 lectures teaching you how to build a movie review classification  engine

Suitable for beginner programmers and ideal for users who learn faster when shown.

Visual training method, offering users increased retention and accelerated learning.

Breaks even the most complex applications down into simplistic steps.

Offers challenges to students to enable the reinforcement of concepts. Also, solutions are described to validate the challenges.

Course Curriculum

Chapter 1: Introduction

Lecture 1: Introduction

Lecture 2: About Author

Chapter 2: Amazing world of word embeddings

Lecture 1: What are word embeddings?

Lecture 2: Word2vec

Lecture 3: One hot encodings

Lecture 4: Glove

Lecture 5: BERT embeddings

Chapter 3: Metrics

Lecture 1: Metrics

Chapter 4: Feature Engineering

Lecture 1: Source Code

Lecture 2: Setting up Pre-requisites

Lecture 3: Download Data

Lecture 4: Create Train, Test and Validation Data

Lecture 5: Download Pretrained Model

Lecture 6: Create Features with BERT Processor

Chapter 5: Model Training

Lecture 1: Create Model

Lecture 2: Train Model

Lecture 3: Model Evaluation

Lecture 4: Test model with real world data

Lecture 5: Next Steps

Instructors

Evergreen Technologies
Software Mentor

Rating Distribution

1 stars: 0 votes

2 stars: 2 votes

3 stars: 3 votes

4 stars: 0 votes

5 stars: 5 votes

Frequently Asked Questions

How long do I have access to the course materials?

You can view and review the lecture materials indefinitely, like an on-demand channel.

Can I take my courses with me wherever I go?

Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!