Free download and Learn Modern Natural Language Processing in Python Udemy course with Torrent and google drive download link
Solve Seq2Seq and Classification NLP tasks with Transformer and CNN using Tensorflow 2 in Google Colab

Modern Natural Language Processing in Python Description

What you’ll learn in Modern Natural Language Processing in Python

  • 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
  • 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

Requirements for Modern Natural Language Processing in Python

Modern Natural Language Processing in Python Free Download Link: