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Greek-Bert

We'll use the Bert pre-trained models in Greek language. And we'll fine tune our model by using data I was gathering since 1/6/2019 from Twitter :D

Methodology

We are going to use PyTorch / TensorFlow as our Deep Learning library and CUDA for GPU programming

Coursera Specializations useful for Deep Learning / NLP / Tensorflow

Useful Articles per NLP Task

Intent recognition

Language:

  • Python 3.8.3
  • Conda 4.9.0
  • NVidia CUDA

Tools:

Transformers guide :

Installing necessary packages

(The standard ones such as pandas , numpy , json , matplotlib)

pip install unicodedata

pip install transfomers

pip install torch (https://pytorch.org/get-started/locally/ it will suggest you a conda installation command more suitable for you!)

Bibliography:

Books:

Python for Data Analysis (to understand how Python is used)

Deep Learning with PyTorch (having fun with examples and deepen your understanding)

Grokking Deep Learning (In order to acquire the mindset about Deep Learning overall)

Papers:

GREEK-BERT The Greeks visiting Sesame Street

Repositories / URLs :

Playlist to hear that I have created for reading my repos :D : https://open.spotify.com/playlist/13PihYZ73GTgCN6snGAZnV?si=04ad54b6ae244a47

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