Solve Seq2Seq and Classification NLP tasks with Transformer and CNN using Tensorflow 2 in Google Colab
Master key concepts and practical skills through structured learning modules. By completing this curriculum, you'll gain valuable expertise applicable to real-world scenarios.
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
This comprehensive Modern Natural Language Processing in Python curriculum is designed to take you from foundational concepts to advanced implementation. Each module builds upon the previous, ensuring a structured learning path that maximizes knowledge retention and practical application.
Understand what you need to succeed in this course and determine if it's the right fit for your learning goals
What you need before starting this Modern Natural Language Processing in Python course:
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Everything you need to know about this online course, from duration to certification
Course Instructor
Martin Jocqueviel
Expert instructor with industry experience
Course Language
English
All materials in English
This online course offers comprehensive training with expert instruction, practical exercises, and a certificate of completion. Join thousands of students advancing their careers through quality online education.
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