This Repository Contains Concepts and Algorithms Learnt in This Course Udemy
- CNN for NLP
- Simple CNN for NLP with Language Translations
- Transformers
- 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
| Image | Name | Designation |
|---|---|---|
 |
Kirill Eremenko | Data Scientist |
 |
Martin Jocqueviel | Freelance data scientist |
 |
Hadelin de Ponteves | AI Entrepreneur |
- Course Reference Thumbnail
- Provided By
Note from Them - We are the SuperDataScience Social team. You will be hearing from us when new SDS courses are released, when we publish new podcasts, blogs, share cheatsheets and more!.We are here to help you stay on the cutting edge of Data Science and Technology.
- Certificate
- I am Extremely ThankFull For
Course Link -> Udemy
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