Learn BERT - essential NLP algorithm by Google
What you'll learn
- Understand the history about BERT and why it changed NLP more than any algorithm in the recent years
- Understand how BERT is different from other standard algorithm and is closer to how humans process languages
- Use the tokenizing tools provided with BERT to preprocess text data efficiently
- Use the BERT layer as a embedding to plug it to your own NLP model
- Use BERT as a pre-trained model and then fine tune it to get the most out of it
- Explore the Github project from the Google research team to get the tools we need
- Get models available on Tensorflow Hub, the platform where you can get already trained models
- Clean text data
- Create datasets for AI from those data
- Use Google Colab and Tensorflow 2.0 for your AI implementations
- Create customs layers and models in TF 2.0 for specific NLP tasks
Requirements
- Basic Python and Tensorflow knowledge
- Basic Mathematics knowledge (high school level)
Description
Master BERT: The Breakthrough NLP Algorithm
Course Overview:
Welcome to the ultimate guide to BERT! This comprehensive course is designed to take you on a journey from the basics to mastery of BERT (Bidirectional Encoder Representations from Transformers), a state-of-the-art algorithm transforming the field of natural language processing (NLP).
Why Choose This Course?
Accessible for Everyone: Whether you're a seasoned data scientist or a newcomer to NLP, this course is crafted to be inclusive and comprehensive. We begin with the origins and history of BERT, carefully explaining each concept so that anyone can follow along. By the end of the course, you'll have a solid grasp of BERT, regardless of your starting point.
Revolutionary and Versatile: BERT has fundamentally changed how we approach NLP tasks by eliminating the need for traditional models like RNNs and CNNs. Instead, BERT uses transformers to provide a more intuitive and effective way to process language. You'll learn how to apply BERT to a wide range of NLP tasks, making your projects more powerful and efficient.
Practical: We prioritize practicality and usability in this course. Using TensorFlow 2.0 and Google Colab, you'll avoid common issues with local machine setups and software compatibility. These tools ensure that you are learning with the most current and advanced technologies available. You'll gain hands-on experience with real-world applications, reinforcing your learning and giving you the confidence to apply BERT in your own projects.
Hands-On Learning: Our course includes numerous practical exercises and projects to help you apply what you’ve learned. You'll work through real-world scenarios and datasets, allowing you to see firsthand how BERT can be used to solve complex NLP problems. This hands-on approach ensures that you're not just learning theory but also gaining the practical skills needed to implement BERT effectively.
Enroll Now:
If you're ready to dive into the world of BERT and revolutionize your approach to natural language processing, this course is for you. Enroll now and start your journey towards mastering one of the most powerful tools in NLP today!
Who this course is for:
- AI amateurs that are eager to learn how NLP research has evolved those last years and how BERT is changing everything
- AI students that need to have a deeper knowledge about the most recent NLP techniques
- Business driven people that are eager to know how to optimize NLP solutions to leverage any text data
- Anyone who wants to start a new career specialized in NLP and get a strong knowledge of the state-of-the art algorithm in this field, adding efficient cases to their portfolio
Instructors
- 4.4 Instructor Rating
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After graduating in Physics and Mathematics from École Polytechnique in France, I specialized in Machine Learning and Artificial Intelligence at ENS. As a Mathematician I like to grasp the full implications behind every algorithm, while as a physicist I want to consider the reality of data from a practical point of view when building an AI. I decided to combined those two aspects of science to build inspiring, intuitive and useful courses for everyone!
- 4.5 Instructor Rating
- 931,883 Reviews
- 3,213,885 Students
- 147 Courses
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