NLPs and Transformer Models

سرفصل های دوره

1. Course Overview

1. Course Overview

2. What Is NLP

1. What Is NLP

2. Introducing Globomantics Case Study

3. Getting the Best Out of This Course

4. Version Check

5. What Will You Be Able to Do When Finishing This Course

6. Outline of the Course

03. Attention Is All You Need

01. Introducing Attention

02. Demo - Calculating Attention by Hand - Part 1

03. Demo - Calculating Attention by Hand - Part 2

04. Demo - Calculating Self-attention by Hand

05. Demo - Adding Attention Layers with Frameworks - Part 1

06. Demo - Adding Attention Layers with Frameworks - Part 2

07. Recap - Seq2Seq with Attention

08. Demo - Implementing Neural Machine Translation with Attention - Part 1

09. Demo - Implementing Neural Machine Translation with Attention - Part 2

10. Demo - Implementing Neural Machine Translation with Attention - Part 3

11. Demo - Implementing Neural Machine Translation with Attention - Part 4

12. Demo - Implementing Neural Machine Translation with Attention - Part 5

13. Demo - Implementing Neural Machine Translation with Attention - Part 6

14. Key Takeaways and Tips

04. Transforming NLP

01. Multi-headed Attention and Transformers - Part 1

02. Multi-headed Attention and Transformers - Part 2

03. Demo - Our First Transformer - Part 1

04. Demo - Our First Transformer - Part 2

05. Demo - Our First Transformer - Part 3

06. Demo - Our First Transformer - Part 4

07. Demo - Our First Transformer - Part 5

08. Introducing Hugging Face

09. Demo - Transfer Learning on Transformers with Hugging Face - Part 1

10. Demo - Transfer Learning on Transformers with Hugging Face - Part 2

11. Demo - Text Summarisation with Fine-tuned T5

12. Where to Go Next

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تولید کننده: Udemy