Menu

mon compte Connexion

mon panier 0 article

Vous avez entre 15 et 18 ans ? Profitez du Pass Culture à la librairie Eyrolles !
Tous nos rayons
Aucun résultat pour ""

Rayons

Graphisme & Photo Informatique Construction Entreprise & Droit Sciences Littérature Arts & Loisirs Vie pratique Voyage et Tourisme BD et Jeunesse

Déjà client ? Identifiez-vous

Mot de passe oublié ?

Nouveau client ?

CRÉER VOTRE COMPTE
Natural Language Processing with Transformers, Revised Edition
Ajouter à une liste

Librairie Eyrolles - Paris 5e
Disponible en magasin

Natural Language Processing with Transformers, Revised Edition

Natural Language Processing with Transformers, Revised Edition

Lewis / Von Werra Tunstall

(0 avis) Donner votre avis
406 pages, parution le 11/07/2022
Ajouter à une liste

Expédié sous 24h

Livraison à partir de 0,01€ dès 35€ d'achats
Pour une livraison en France métropolitaine

Retrait à la librairie - Paris 5e

Disponible dans la journée

Résumé

If you're a data scientist or coder, this practical book -now revised in full color- shows you how to train and scale these large models using Hugging Face Transformers, a Python-based deep learning library.Since their introduction in 2017, transformers have quickly become the dominant architecture for achieving state-of-the-art results on a variety of natural language processing tasks. If you're a data scientist or coder, this practical book -now revised in full color- shows you how to train and scale these large models using Hugging Face Transformers, a Python-based deep learning library. Transformers have been used to write realistic news stories, improve Google Search queries, and even create chatbots that tell corny jokes. In this guide, authors Lewis Tunstall, Leandro von Werra, and Thomas Wolf, among the creators of Hugging Face Transformers, use a hands-on approach to teach you how transformers work and how to integrate them in your applications. You'll quickly learn a variety of tasks they can help you solve. Build, debug, and optimize transformer models for core NLP tasks, such as text classification, named entity recognition, and question answering Learn how transformers can be used for cross-lingual transfer learning Apply transformers in real-world scenarios where labeled data is scarce Make transformer models efficient for deployment using techniques such as distillation, pruning, and quantization Train transformers from scratch and learn how to scale to multiple GPUs and distributed environmentsLewis Tunstall is a data scientist at Swisscom, focused on building machine learning powered applications in the domains of natural language processing and time series. A former theoretical physicist, he has over 10 years experience translating complex subject matter to lay audiences and has taught machine learning to university students at both the graduate and undergraduate levels. Leandro von Werra is a data scientist at Swiss Mobiliar where he leads the company's natural language processing efforts to streamline and simplify processes for customers and employees. He has experience working across the whole machine learning stack, and is the creator of a popular Python library that combines Transformers with reinforcement learning. He also teaches data science and visualisation at the Bern University of Applied Sciences. Thomas Wolf is Chief Science Officer and co-founder of HuggingFace. His team is on a mission to catalyze and democratize NLP research. Prior to HuggingFace, Thomas gained a Ph.D. in physics, and later a law degree. He worked as a physics researcher and a European Patent Attorney.

Caractéristiques techniques

  PAPIER
Éditeur(s) O'Reilly
Auteur(s) Lewis / Von Werra Tunstall
Parution 11/07/2022
Nb. de pages 406
EAN13 9781098136796

Avantages Eyrolles.com

Livraison à partir de 0,01 € en France métropolitaine
Paiement en ligne SÉCURISÉ
Livraison dans le monde
Retour sous 15 jours
+ d'un million et demi de livres disponibles

Nos clients ont également acheté

Designing Machine Learning Systems: An Iterative Process for Production-Ready Applications

Designing Machine Learning Systems: An Iterative Process for Production-Ready Applications
Generative Deep Learning: Teaching Machines To Paint, Write, Compose, and Play

Generative Deep Learning: Teaching Machines To Paint, Write, Compose, and Play
Algèbre commutative

Algèbre commutative
Atlas archéologique de la france

Atlas archéologique de la france

Consultez aussi

satisfait ou remboursé
Satisfait ou remboursé
Paiement sécurisé
modes de paiement
Paiement à l'expédition
partout dans le monde
Livraison partout dans le monde
Service clients sav@commande.eyrolles.com
librairie française
Librairie française depuis 1925
Recevez nos newsletters
Vous serez régulièrement informé(e) de toutes nos actualités.
Inscription