Correction of "Dependencies" with new package version
Correction of "Whole Model" with new package version
Basic Python and Tensorflow knowledge
Basic Mathematics knowledge (high school level)
Dive deep into the BERT intuition and applications:
Suitable for everyone: We will dive into the history of BERT from its origins, detailing any concept so that anyone can follow and finish the course mastering this state-of-the-art NLP algorithm even if you are new to the subject.
Powerful and disruptive: Learn the concepts behind a new BERT, getting rid of RNNs, CNNs and other heavy deep learning models to implement a more intuitive way to process language that will suit a wide range of NLP purposes, including yours!
User-friendly and efficient: We’ve designed the course using the latest technologies, using Tensorflow 2.0 and Google Colab, assuring that you won’t have any local machine/software version/compatibility issues and that you are using the most up-to-date tools.
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
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!