About me

I am a young data scientist just graduated, I love everything related to new technology and innovation, especially deep learning. This first article is the first in a series about NLP, computer vision, speech to text. Feel free to give me feedback, so that I can improve my work.

Ps: You can also follow me daily on instagram @frenchaiguy

Why using a transformer model?

In recent years NLP has become the fastest evolving area in deep learning along with computer vision. The transformer architecture has made it possible to develop new models capable of being trained on large corpora while being much better than recurrent neural networks such as LSTM. These new models are used for Sequence Classification, Question Answering, Language Modeling, Named Entity Recognition, Summarization, or Translation.

In this post, we will study the key components of the transformers in order to understand how they have become the basis of the state of the art in different tasks.

#translation #nlp #deep-learning #machine-learning