Documents disponibles chez cet éditeur

Transformers for Natural Language Processing / Rothman, Denis

Public ISBD Titre : Transformers for Natural Language Processing : build innovative deep neural network architectures for NLP with Python, PyTorch, TensorFlow, BERT, RoBERTa, and more Type de document : texte imprimé Auteurs : Rothman, Denis, Auteur Mention d'édition : First published Editeur : Packt Publishing Année de publication : 2001 Importance : xvi, 360 Présentation : ill Format : 19 x 23.5 Cm ISBN/ISSN/EAN : 978-1-8005-6579-1 Prix : 93,50 € Note générale : Index Langues : Anglais (eng) Mots-clés : Language Processing Index. décimale : 006.1 ROT Résumé : Book DescriptionThe transformer architecture has proved to be revolutionary in outperforming the classical RNN and CNN models in use today. With an apply-as-you-learn approach, 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. Note de contenu : 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 Transformers for Natural Language Processing : build innovative deep neural network architectures for NLP with Python, PyTorch, TensorFlow, BERT, RoBERTa, and more [texte imprimé] / Rothman, Denis, Auteur  . -  First published . - [S.l.] : Packt Publishing, 2001 . - xvi, 360 : ill ; 19 x 23.5 Cm. ISBN : 978-1-8005-6579-1 : 93,50 € Index Langues : Anglais (eng) Mots-clés : Language Processing Index. décimale : 006.1 ROT Résumé : Book DescriptionThe transformer architecture has proved to be revolutionary in outperforming the classical RNN and CNN models in use today. With an apply-as-you-learn approach, 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. Note de contenu : 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

Exemplaires

Code-barres	Cote	Support	Localisation	Section	Disponibilité
FSEI2022/00024-2	006.1 ROT	Ouvrage	Bibliothèque de la Faculté des Sciences Exactes et Informatique	Informatique	Disponible
FSEI2022/00024-1	006.1 ROT	Ouvrage	Bibliothèque de la Faculté des Sciences Exactes et Informatique	Informatique	Exclu du prêt

Learn Quantum Computing with Python and IBM Quantum Experience / Loredo, Robert

Public ISBD Titre : Learn Quantum Computing with Python and IBM Quantum Experience : A hands-on introduction to quantum computing and writing your own quantum programs with Python Type de document : texte imprimé Auteurs : Loredo, Robert, Auteur Editeur : Packt Publishing Année de publication : 2020 Importance : 489 p Présentation : ill Format : 19x23.5 cm ISBN/ISSN/EAN : 978-1-8389-8100-6 Note générale : Index Langues : Anglais (eng) Mots-clés : Quantum Computing  Python  IBM Quantum Index. décimale : 006.7 LOR Résumé : IBM Quantum Experience is a platform that enables developers to learn the basics of quantum computing by allowing them to run experiments on a quantum computing simulator and a real quantum computer. This book will explain the basic principles of quantum mechanics, the principles involved in quantum computing, and the implementation of quantum algorithms and experiments on IBM’s quantum processors. You will start working with simple programs that illustrate quantum computing principles and slowly work your way up to more complex programs and algorithms that leverage quantum computing. As you build on your knowledge, you’ll understand the functionality of IBM Quantum Experience and the various resources it offers. Furthermore, you’ll not only learn the differences between the various quantum computers but also the various simulators available. Later, you’ll explore the basics of quantum computing, quantum volume, and a few basic algorithms, all while optimally using the resources available on IBM Quantum Experience. By the end of this book, you’ll learn how to build quantum programs on your own and have gained practical quantum computing skills that you can apply to your business. Learn Quantum Computing with Python and IBM Quantum Experience : A hands-on introduction to quantum computing and writing your own quantum programs with Python [texte imprimé] / Loredo, Robert, Auteur . - [S.l.] : Packt Publishing, 2020 . - 489 p : ill ; 19x23.5 cm. ISBN : 978-1-8389-8100-6 Index Langues : Anglais (eng) Mots-clés : Quantum Computing  Python  IBM Quantum Index. décimale : 006.7 LOR Résumé : IBM Quantum Experience is a platform that enables developers to learn the basics of quantum computing by allowing them to run experiments on a quantum computing simulator and a real quantum computer. This book will explain the basic principles of quantum mechanics, the principles involved in quantum computing, and the implementation of quantum algorithms and experiments on IBM’s quantum processors. You will start working with simple programs that illustrate quantum computing principles and slowly work your way up to more complex programs and algorithms that leverage quantum computing. As you build on your knowledge, you’ll understand the functionality of IBM Quantum Experience and the various resources it offers. Furthermore, you’ll not only learn the differences between the various quantum computers but also the various simulators available. Later, you’ll explore the basics of quantum computing, quantum volume, and a few basic algorithms, all while optimally using the resources available on IBM Quantum Experience. By the end of this book, you’ll learn how to build quantum programs on your own and have gained practical quantum computing skills that you can apply to your business.

Exemplaires

Code-barres	Cote	Support	Localisation	Section	Disponibilité
FSEI2022/00037-2	006.7 LOR	Ouvrage	Bibliothèque de la Faculté des Sciences Exactes et Informatique	Informatique	Disponible
FSEI2022/00037-1	006.7 LOR	Ouvrage	Bibliothèque de la Faculté des Sciences Exactes et Informatique	Informatique	Exclu du prêt