Learn BERT - most powerful NLP algorithm by Google

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 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 Create customs layers and models in TF 2.0 for specific NLP tasks 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.