Transformers for natural language processing build, train, and fine-tune deep neural network architectures for NLP with Python, PyTorch, TensorFlow, BERT, and GPT-3
| Главный автор: | Rothman, Denis |
|---|---|
| Другие авторы: | Gulli, Antonio |
| Формат: | Электронная книга |
| Язык: | English |
| Публикация: |
Birmingham, UK
Packt Publishing,
[2022]
|
| Редактирование: | Second edition. |
| Предметы: | |
| Online-ссылка: | EBSCOhost Перейти в каталог НБ ТГУ |
Похожие документы
-
Python deep learning exploring deep learning techniques and neural network architectures with PyTorch, Keras, and TensorFlow
по: Vasilev, Ivan
Публикация: (2019) -
Architecture and security issues in fog computing applications
Публикация: (2020) -
Deep learning with TensorFlow and Keras build and deploy supervised,... unsupervised, deep, and reinforcement learning mod.
по: Kapoor, Amita
Публикация: (2022) -
Big data analysis with Python combine Spark and Python to unlock the powers of parallel computing and machine learning
по: Marin, Ivan
Публикация: (2019) -
Artificial intelligence with Python your complete guide to building intelligent apps using Python 3.x and TensorFlow 2
по: Artasanchez, Alberto
Публикация: (2020)
