With the NLTK library, it is often difficult to find your way around, especially with the tags module (pos_tag)! This module allows you to know the value of each word : adjective, noun, proper name, etc. In this post, we…
The mechanism of Attention is a fundamental process in Deep Learning to understand the most recent high-performance models. Today, most AI researchers integrate Attention in their neural networks. To apprehend Attention, you need to know the principle of Encoders-Decoders, a…
How does an Encoder-Decoder work and why use it in Deep Learning? The Encoder-Decoder is a neural network discovered in 2014 and it is still used today in many projects. It is a fundamental pillar of Deep Learning. It is…
Let me introduce you to the transformers library which solves the most complicated NLP problems (Question Answering, Summarization and Text Generation, and more) in a few seconds ! For a long time, I’ve been looking for an AI capable of…
In this tutorial we will see how to simply and quickly use and train the BERT Transformer. BERT is a Deep Learning model launched at the end of 2019 by Google. It is a Transformer, a very specific type of…
Today I share with you this NLP Preprocessing tutorial to see in detail how to efficiently clean up your text data ! If you want to download the code directly, it is available on Github at this link. We will…