Explanation
Build a Movie Review Classifier with BERT and TensorflowBuild Movie Review Classifier in Tensorflow with BERT and Tensorflow is a complete beginner-level course for building a Movie Review Classifier with BERT and Tensorflow 2.4 . No prior knowledge of embedding terms or BERT is assumed. We will cover topics such as Word input, BERT, and Glove from scratch. NLP skills are many, and being able to learn text classification with BERT gives you a strong advantage. BERT is an advanced language model that outperforms all previous natural language processing techniques. Google uses BERT for text classification systems. Text differentiation is important in social media. Learning text classification with BERT and Tensorflow 2.4 will help you become an in-demand Natural Language Processing (NLP) developer. At the end of my course, students will be able to build a movie review classification engine.
What you will learn in this course:
- Understanding the Classification of Film Critics
- Learn the words in zero space
- Learn about BERT and its advantages over other technologies
- Use the pre-trained model and adjust it to the question classification task.
- Learn how to rate the model
- Jupyter notebook user for programming
- Model testing of real-world data
Who is this course for:
- Beginner Python developers who are interested in text parsing
Course specifications:
- Publisher: Udemy
- Teachers: Evergreen Technologies
- Language : English
- Level: Beginner
- Duration : 19h 2m
- number of lessons: 39
- Format: mp4
The course includes:
Requirements:
- Beginning Data Science and Software Engineers
Architecture Diagrams Review Movie Sorting BERT and Tensorflow
Example clip:
Installation guide:
After the production, you can watch the course in your favorite video.
subtitle: English
Quality: 720p
Download links:
Password: free download software
File size:
1 GB