| Description |
1 online resource (385 p.) |
| Note |
Description based upon print version of record. |
| Summary |
Being the first book in the market to dive deep into the Transformers, it is a step-by-step guide for data and AI practitioners to help enhance the performance of language understanding and gain expertise with hands-on implementation of transformers using PyTorch, TensorFlow, Hugging Face, Trax, and AllenNLP. |
| Contents |
Table of Contents Getting Started with the Model Architecture of the Transformer Fine-Tuning BERT Models Pretraining a RoBERTa Model from Scratch Downstream NLP Tasks with Transformers Machine Translation with the Transformer Text Generation with OpenAI GPT-2 and GPT-3 Models Applying Transformers to Legal and Financial Documents for AI Text Summarization Matching Tokenizers and Datasets Semantic Role Labeling with BERT-Based Transformers Let Your Data Do the Talking: Story, Questions, and Answers Detecting Customer Emotions to Make Predictions Analyzing Fake News with Transformers Appendix: Answers to the Questions. |
| Local Note |
eBooks on EBSCOhost EBSCO eBook Subscription Academic Collection - North America |
| Subject |
Artificial intelligence -- Data processing.
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Artificial intelligence -- Software.
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Python (Computer program language)
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Cloud computing.
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Artificial intelligence. |
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Natural language & machine translation. |
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Neural networks & fuzzy systems. |
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Computers -- Intelligence (AI) & Semantics. |
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Computers -- Natural Language Processing. |
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Computers -- Neural Networks. |
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Artificial intelligence |
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Artificial intelligence -- Data processing |
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Cloud computing |
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Python (Computer program language) |
| Genre/Form |
Software
|
| Other Form: |
Print version: Rothman, Denis Transformers for Natural Language Processing Birmingham : Packt Publishing, Limited,c2021 9781800565791 |
| ISBN |
1800568630 |
|
9781800568631 (electronic bk.) |
|
1800565798 |
|
9781800565791 |
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