Mastering transformers : build SOTA models from scratch with advanced natural language processing techniques /

Mastering transformers : build SOTA models from scratch with advanced natural language processing techniques /

Bibliografiske detaljer
Hovedforfatter:	Yildırım, Savas
Andre forfattere:	Asgari-Chenaghlu, Meysam
Format:	Bog
Sprog:	English
Udgivet:	Birmingham, UK : Packt Publishing, 2021.
Fag:	Natural language processing (Computer science). Computer science.
Classic Catalogue:	View this record in Classic Catalogue

Lignende værker

Transformers for natural language processing : build innovative deep neural network architectures for NLP with Python, Pytorch, TensorFlow, BERT, RoBERTa, and more /
af: Rothman, Denis
Udgivet: (2021)

Advanced natural language processing with TensorFlow 2 : build effective real-world NLP applications using NER, RNNS, seq2seq models, transformers, and more /
af: Bansal, Ashish
Udgivet: (2021)

Getting started with Google BERT : build and train state-of-the-art natural language processing models using BERT /
af: Ravichandiran, Sudharsan
Udgivet: (2021)

Introduction to natural language processing /
af: Eisenstein, Jacob
Udgivet: (2019)

Exploration and mitigation of gender bias in word embeddings from transformer-based language models
af: Hossain, Ariyan, et al.
Udgivet: (2024)

Natural language processing for online applications : text retrieval, extraction, and categorization /
af: Jackson, Peter, 1948-
Udgivet: (2002)

Representation learning for natural language processing /
af: Liu, Zhiyuan
Udgivet: (2020)

The applied AI and natural language processing workshop : explore practical ways to transform your simple projects into powerful intelligent applications /
af: Sankar, Krishna, et al.
Udgivet: (2020)

The natural language processing workshop : confidently design and build your own NLP projects with this easy-to-understand practical guide /
af: Chopra, Rohan, et al.
Udgivet: (2020)

Natural language processing with PyTorch : build intelligent language applications using deep learning /
af: Rao, Delip, et al.
Udgivet: (2019)

Natural language processing with PyTorch : build intelligent language applications using deep learning /
af: Rao, Delip, et al.
Udgivet: (2019)

Natural language processing with Python /
af: Bird, Steven
Udgivet: (2009)

Vulgar and spam comment identification using Gluon Natural Language Processing and Convolution Neural Networks
af: Jahan, Rufyda
Udgivet: (2019)

Natural language processing and information systems : 6th International Conference on Applications of Natural Language to Information Systems, NLDB 2002, Stockholm, Sweden, June 27-28, 2002 : revised papers /
Udgivet: (2002)

Handbook of natural language processing /
Udgivet: (2010)

Natural language processing with Python and spaCy : a practical introduction /
af: Vasiliev, Yuli
Udgivet: (2020)

Natural language processing and computational linguistics : a practical guide to text analysis with python, gensim, spaCy, and keras /
af: Srinivasa-Desikan, Bhargav
Udgivet: (2018)

Natural language processing for social media /
af: Farzindar, Anna Atefeh
Udgivet: (2020)

Neural network methods for natural language processing /
af: Goldberg, Yoav

A pratical guide to hybrid natural Language processing : combining neural models and knowledge graphs for NLP /
af: Gomez-Perez, Jose Manuel
Udgivet: (2020)

Quality assessment of extracted information from newspaper comment sections using natural language processing
af: Deb, Arnob, et al.
Udgivet: (2024)

Hands-on natural language processing with PyTorch 1.x : build smart, AI-driven linguistic applications using deep learning and NLP techniques /
af: Dop, Thomas
Udgivet: (2020)

Natural language processing and knowledge representation : language for knowledge and knowledge for language /
Udgivet: (2000)

Natural language processing in action : understanding, analyzing, and generating text with Python /
af: Lane, Hobson, et al.
Udgivet: (2019)

Statistical significance testing for natural language processing /
Udgivet: (2020)

Getting started with deep learning for natural language processing : learn how to build NLP applications with deep learning /
af: Patel, Sunil
Udgivet: (2021)

Transfer learning for natural language processing /
af: Azunre, Paul
Udgivet: (2021)

Deep learning for natural language processing : creating neural networks with Python /
af: Goyal, Palash
Udgivet: (2018)

Python natural language processing cookbook : over 50 recipes to understand, analyze, and generate text for implementing language processing tasks /
af: Antić, Zhenya, author
Udgivet: (2021)

Natural language processing crash course for beginners : theory and applications of NLP using TensorFlow and Keras /
Udgivet: (2020)

Hands-on Python natural language processing : explore tools and techniques to analyze and process text with a view to building real-world NLP applications /
af: Kedia, Aman, et al.
Udgivet: (2020)

Natural language processing with Java cookbook : over 70 recipes to create linguistic and language translation applications using Java libraries /
af: Reese, Richard M., 1953-
Udgivet: (2019)

Mastering Java machine learning : mastering and implementing advanced techniques in machine learning /
af: Kamath, Uday
Udgivet: (2017)

A study on the efficacy of natural language generation techniques for similar writing personalities
af: Anwar, Ahmed, et al.
Udgivet: (2024)

Spoken English on computer : transcription, mark-up, and application /
Udgivet: (1995)

Identifying hate speech of Bangla language text using natural language processing
af: Rahman, Mushfiqur, et al.
Udgivet: (2024)

Automated essay scoring for Bangla
af: Mahjabin, Rubayet, et al.
Udgivet: (2024)

Establishment of transformation protocol and regeneration potential comparison following introduction of the antiporter gene in peanut (Arachis hypogaea L.)
af: Khan, Kashmery
Udgivet: (2015)

Towards devising an efficient VQA in the Bengali Language
af: Islam, S M Shahriar, et al.
Udgivet: (2022)

Mastering Java : an effective project based approach including web development, data structures, GUI programming and object oriented programming (beginner to advanced) /
af: White, Michael B.
Udgivet: (2018)