Transformers for Natural Language Processing by Denis Rothman (True AZW)
- CategoryOther
- TypeE-Books
- LanguageEnglish
- Total size3.1 MB
- Uploaded Byfreecoursewb
- Downloads29
- Last checkedJun. 16th '22
- Date uploadedJun. 14th '22
- Seeders 4
- Leechers1
Transformers for Natural Language Processing by Denis Rothman (True AZW) 
https://DevCourseWeb.com
English | 2022 | ISBN: 1803247339 | 565 pages | True AZW | 3 MB
Under the hood working of transformers, fine-tuning GPT-3 models, DeBERTa, vision models, and the start of Metaverse, using a variety of NLP platforms: Hugging Face, OpenAI API, Trax, and AllenNLP
Key Features
Implement models, such as BERT, Reformer, and T5, that outperform classical language models
Compare NLP applications using GPT-3, GPT-2, and other transformers
Analyze advanced use cases, including polysemy, cross-lingual learning, and computer vision
Files:
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- TransformersforNaturalLanguageProcessingBuildinnovativedeepneuralnetworkarc....azw3 (3.1 MB)
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