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Transformers for Natural Language Processing : Build innovative deep neural network architectures for NLP with Python, PyTorch, TensorFlow, BERT, RoBERTa, and more /: Build innovative deep neural network architectures for NLP with Python, PyTorch, TensorFlow, BERT, RoBERTa, and more. (2021)
Record Type:
Book
Title:
Transformers for Natural Language Processing : Build innovative deep neural network architectures for NLP with Python, PyTorch, TensorFlow, BERT, RoBERTa, and more /: Build innovative deep neural network architectures for NLP with Python, PyTorch, TensorFlow, BERT, RoBERTa, and more. (2021)
Main Title:
Transformers for Natural Language Processing : Build innovative deep neural network architectures for NLP with Python, PyTorch, TensorFlow, BERT, RoBERTa, and more
Table of ContentsGetting Started with the Model Architecture of the TransformerFine-Tuning BERT ModelsPretraining a RoBERTa Model from ScratchDownstream NLP Tasks with TransformersMachine Translation with the TransformerText Generation with OpenAI GPT-2 and GPT-3 ModelsApplying Transformers to Legal and Financial Documents for AI Text SummarizationMatching Tokenizers and DatasetsSemantic Role Labeling with BERT-Based TransformersLet Your Data Do the Talking: Story, Questions, and AnswersDetecting Customer Emotions to Make PredictionsAnalyzing Fake News with TransformersAppendix: Answers to the Questions.
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