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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
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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
Transformers for Natural Language Processing investigates in vast detail the deep learning for machine translations, speech-to-text, text-to-speech, language modeling, question answering, and many more NLP domains with transformers.
Transformers for Natural Language Processing: Build innovative deep neural network architectures for NLP with Python, PyTorch, TensorFlow, BERT, RoBERTa, and more
Item #: 32485870

Transformers for Natural Language Processing: Build innovative deep neural network architectures for NLP with Python, PyTorch, TensorFlow, BERT,

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Item #: 32485870

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Transformers for Natural Language Processing investigates in vast detail the deep learning for machine translations, speech-to-text, text-to-speech, language modeling, question answering, and many more NLP domains with transformers.
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Shop Transformers for Natural Language Processing: Build innovative deep neural network architectures for NLP with Python, PyTorch, TensorFlow, BERT, RoBERTa, and more online at a best price in Malaysia. 1800565798
  • Build and implement state-of-the-art language models using Python and deep learning concepts
  • Explore transformer architectures such as the original transformer, BERT, RoBERTa, and GPT-2
  • Work with pretrained transformer models from tech giants like Google, Facebook, and OpenAI
  • Apply transformers to various NLP domains including machine translation and text summarization
  • Learn how to measure the productivity and limitations of transformer models in production
  • Ideal for experienced deep learning practitioners and data scientists familiar with Python and neural networks
Publisher Packt Publishing
Publication date January 29, 2021
Language English
Print length 384 pages
ISBN-10 1800565798
ISBN-13 978-1800565791
Item Weight 7.4 ounces (209.79 grams)
Dimensions 7.5 x 0.87 x 9.25 inches (19.1 x 2.2 x 23.5 cm)

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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

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Ciri & Faedah

  • In-depth exploration of the transformer architecture for NLP
  • Covers various eminent models and datasets
  • Grasp advanced language understanding techniques
  • Use pretrained transformer models for various datasets
  • Suitable for readers familiar with neural networks and programming
  • Apply Python, TensorFlow, and Keras programs to sentiment analysis, text summarization, speech recognition, machine translations, and more

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