Modern Natural Language Processing in Python
Solve Seq2Seq and Classification NLP tasks with Transformer and CNN using Tensorflow 2 in Google Colab
4.50 (1740 reviews)
49,476
students
6 hours
content
Jan 2025
last update
$84.99
regular price
What you will 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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udemy ID
8/20/2019
course created date
11/21/2019
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