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NLP Certification- BERT to GPT-3 Transformer Implementations

Description

This course introduces you to the basics of Transformers in NLP. The matters embody are;

1. Recurrent Neural Networks & LSTM

2. Bi-Directional Encoder Illustration from Transformers.

3. Masked Language Modelling.

4. Subsequent Sentence Prediction utilizing Transformers.

5. Generative Pre-trained Transformers and their implementation in RASA and SpiCy.

6. Full Code for On-line Fraud Detection System.

7. Full Code for Textual content Classification.

8. Full Code for Language Translation System.

9. Full Code for Film Recommender System.

10. Full Code for Speech to Textual content Conversion utilizing GPT-2.

11. Full Code for Chatbot utilizing GPT3.

12. Full Code for Textual content Abstract System utilizing GPT3.

13. Automated Essay Scoring utilizing Transformer Fashions.

14. Sentiment Evaluation utilizing Pre-trained Transformers.

15. Coaching and Testing a GPT- 2 for Novel Writing.

16. Recreation Design utilizing AlphaGo and Transformers.

Transformers (previously referred to as PyTorch-transformers and pytorch-pretrained-bert) present 1000’s of pre-trained fashions to carry out duties on totally different modalities similar to textual content, imaginative and prescient, and audio.

These fashions will be utilized on:

  • Textual content, for duties like textual content classification, info extraction, query answering, summarization, translation, textual content era, in over 100 languages.

  • Pictures, for duties like picture classification, object detection, and segmentation.

  • Audio, for duties like speech recognition and audio classification.

Transformer Fashions are nice with Sequential Information and are Pre-trained which makes them versatile and succesful. It permits additional to Achieve Out-of-the-Field Performance. Transformer fashions allow you to take a large-scale LM (language mannequin) educated on a large quantity of textual content (the whole works of Shakespeare), then replace the mannequin for a particular conceptual activity, far past mere “studying,” similar to sentiment evaluation and even predictive evaluation.


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