Modern Natural Language Processing in Python

Modern Natural Language Processing in Python

Modern Natural Language Processing in Python
Free Coupon Discount - Modern Natural Language Processing in Python, Solve Seq2Seq and Classification NLP tasks with Transformer and CNN
Created by Martin Jocqueviel, Kirill Eremenko, Hadelin de Ponteves, SuperDataScience Team
English [Auto-generated]


What you'll learn
  • Build a Transformer, new model created by Google, for any sequence to sequence task (e.g. a translator)
  • Build a CNN specialized in NLP for any classification task (e.g. sentimental analysis)
  • Write a custom training process for more advanced training methods in NLP
  • Create customs layers and models in TF 2.0 for specific NLP tasks
  • Use Google Colab and Tensorflow 2.0 for your AI implementations
  • Pick the best model for each NLP task
  • Understand how we get computers to give meaning to the human language
  • Create datasets for AI from those data
  • Clean text data
  • Understand why and how each of those models work
  • Understand everything about the attention mechanism, lying behind the newest and most powerful NLP algorithms
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