Course description
Build Movie Review Classification with BERT and Tensorflow is a complete beginner-level course for building Movie Review Classification with BERT and Tensorflow 2.4. No prior knowledge of word embedding or BERT is assumed. I’ll cover topics like Word embedding, BERT, and Glove from scratch. Jobs in NLP are plentiful, and being able to learn text classification with BERT gives you a strong advantage. BERT is an advanced language model and outperforms all previous techniques in natural language processing. Google uses BERT for text classification systems. Text classification is critical 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 Criticism
- Learn word embedding from scratch
- Learn about BERT and its advantages over other technologies
- Use the pre-trained model and tune it to the question classification task
- Learn how to evaluate the model
- Jupyter notebook user for programming
- Model testing on real world data
Who is this course suitable for?
- Beginner Python developers who are curious about text classification
Course specifications :
- Publisher: Udemy
- teacher : Evergreen Technologies
- English language
- Training level: beginner
- Duration: 19 hours and 2 minutes
- Number of courses: 39
- File format: mp4
Course headings :
Course prerequisites:
- Beginner Data Science and Software engineers
Images Build Movie Review Classification with BERT and Tensorflow
Sample video
Installation guide
After extracting, watch with your favorite player.
English subtitle
Quality: 720p
download link
Password file(s): www.downloadly.ir
Size
898 MB
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