Natural Language Processing with Flair : A practical guide to understanding and solving NLP problems with Flair

Natural Language Processing with Flair : A practical guide to understanding and solving NLP problems with Flair

Enregistré dans:

Détails bibliographiques
Auteur principal:	Magajna, Tadej. (Auteur)
Support:	E-Book
Langue:	Anglais
Publié:	Birmingham : Packt Publishing, 2022.
Autres localisations:	Voir dans le Sudoc
Accès en ligne:	Accès à l'E-Book
Lien:	Autre support: Natural Language Processing with Flair : A practical guide to understanding and solving NLP problems with Flair / Tadej Magajna

Documents similaires

The Natural Language Processing Workshop : Confidently design and build your own NLP projects with this easy-to-understand practical guide
par: Chopra, Rohan.
Publié: (2020)

Un flair qui a du chien
par: Ferry, Barbara.
Publié: (2017)

Hands-on natural language processing with Python : a practical guide to applying deep learning architectures to your NLP applications
par: Arumugam, Rajesh.
Publié: (2018)

Deep Learning for Natural Language Processing : Solve your natural language processing problems with smart deep neural networks
par: Reddy Bokka, Karthiek.
Publié: (2019)

Natural language processing with Java : techniques for building machine learning and neural network models for NLP
par: Reese, Richard M..
Publié: (2018)

Natural language processing : Python and NLTK
par: Hardeniya, Nitin.
Publié: (2016)

Python natural language processing
par: Thanaki, Jalaj.
Publié: (2017)

Natural Language Processing with Java
par: Reese, Richard M..
Publié: (2015)

Hands-On Python Natural Language Processing : Explore tools and techniques to analyze and process text with a view to building real-world NLP applications
par: Kedia, Aman.
Publié: (2020)

Du flair de Waterton à l'odorat des oiseaux
Publié: (2020)

Natural Language Processing with TensorFlow : The definitive NLP book to implement the most sought-after machine learning models and tasks
par: Ganegedara, Thushan.
Publié: (2022)

Transformers for Natural Language Processing : Build innovative deep neural network architectures for NLP with Python, PyTorch, TensorFlow, BERT, RoBERTa, and more
par: Rothman, Denis.
Publié: (2021)

Les oiseaux ont-ils du flair ? : 160 clés pour comprendre les oiseaux
par: Chazel, Luc (1953-....).
Publié: (2013)

Transformers for Natural Language Processing : Build, train, and fine-tune deep neural network architectures for NLP with Python, PyTorch, TensorFlow, BERT, and GPT-3
par: Rothman, Denis.
Publié: (2022)

Natural Language Processing Fundamentals for Developers
par: Campesato, Oswald.

Natural language processing and computational linguistics : a practical guide to text analysis with Python, Gensim, spaCy, and Keras
par: Srinivasa-Desikan, Bhargav.
Publié: (2018)

Dépistage du cancer du sein, le flair incroyable des chiens
par: Komaroff, Sophie.
Publié: (2017)

Getting started with Deep Learning for Natural Language Processing : Learn how to build NLP applications with Deep Learning (English Edition)
par: Patel, Sunil.

Natural Language Processing Fundamentals : Build intelligent applications that can interpret the human language to deliver impactful results
par: Ghosh, Sohom.
Publié: (2019)

Natural language processing with Python quick start guide : going from a Python developer to an effective natural language processing engineer
par: Kasliwal, Nirant.
Publié: (2018)

Natural Language Processing and Machine Learning for Developers
par: Campesato, Oswald.

Hands-On Natural Language Processing with PyTorch 1.x : Build smart, AI-driven linguistic applications using deep learning and NLP techniques
par: Dop, Thomas.
Publié: (2020)

Advanced Natural Language Processing with TensorFlow 2 : Build effective real-world NLP applications using NER, RNNs, seq2seq models, Transformers, and more
par: Bansal, Ashish.
Publié: (2021)

Natural Language Processing with Java Cookbook : Over 70 recipes to create linguistic and language translation applications using Java libraries
par: Reese, Richard M..
Publié: (2019)

Natural Language Processing using R Pocket Primer
par: Campesato, Oswald.

Natural language processing with Java and LingPipe cookbook
par: Baldwin, Breck.
Publié: (2014)

The Applied AI and Natural Language Processing Workshop : Explore practical ways to transform your simple projects into powerful intelligent applications
par: Sankar, Krishna.
Publié: (2020)

Transformers for Natural Language Processing and Computer Vision : Explore Generative AI and Large Language Models with Hugging Face, ChatGPT, GPT-4V, and DALL-E 3
par: Rothman, Denis.

Natural Language Processing with AWS AI Services : Derive strategic insights from unstructured data with Amazon Textract and Amazon Comprehend
par: M, Mona.
Publié: (2021)

Natural Language Understanding with Python : Combine natural language technology, deep learning, and large language models to create human-like comprehension
par: Dahl, Deborah A..

The Role of context in language processing : when and how ?
par: Davies, G.
Publié: (1986)

Handbook of Natural Gas Transmission and Processing : Principles and Practices
par: Mokhatab, Saeid.
Publié: (2018)

Introduction to natural language semantics
par: Swart, Henriëtte de, 1961-
Publié: (1998)

The Natural Language for Artificial Intelligence
par: Monte-Serrat, Dionéia Motta (19..-....).
Publié: (2021)

Natural gas processing : technology and engineering Design
par: Bahadori, Alireza.
Publié: (2014)

Business process execution language for Web services : an architect and developer's guide to orchestrating web services using BPEL4WS
par: Juric, Matjaz.
Publié: (2006)

Language shock : understanding the culture of conversation
par: Agar, Michael H, 1945-
Publié: (2002)

Processes of understanding anaphora
par: Murphy, G.
Publié: (1985)

Artificial Vision and Language Processing for Robotics : Create end-to-end systems that can power robots with artificial vision and deep learning techniques
par: Morena Alberola, Alvaro.
Publié: (2019)

On a computer language wich simulates associative memory and parallel processing
par: Findler, N. V.
Publié: (1967)

Université catholique de l'Ouest - Bibliothèques - 3 place André Leroy - BP10808 - 49008 ANGERS Cedex 1