Getting started with Google BERT : build and train state-of-the-art natural language processing models using BERT /

Getting started with Google BERT : build and train state-of-the-art natural language processing models using BERT /

Bibliografski detalji
Glavni autor:	Ravichandiran, Sudharsan (Autor)
Format:	Knjiga
Jezik:	English
Izdano:	Birmingham : Packt Publishing, 2021.
Teme:	Natural language processing (Computer science). Computer science.
Classic Catalogue:	View this record in Classic Catalogue

Similar Items

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

Interpretable Bangla fake news classification using BERT and traditional machine learning approaches
od: Anan, Ramisa, i dr.
Izdano: (2023)

An integrated approach: fake review detection using convBERT-BiLSTM classification
od: Mahmud, Md. Anas, i dr.
Izdano: (2024)

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

Mastering transformers : build SOTA models from scratch with advanced natural language processing techniques /
od: Yildırım, Savas
Izdano: (2021)

Google Docs 4 Everyone
od: Holzner; Holzner

Google on the Go: Using an Android-Powered Mobile Phone
od: Eddy; Digiacomo Eddy

Getting started with business analytics : insightful decision-making /
od: Hardoon, David Roi
Izdano: (2016)

Introduction to natural language processing /
od: Eisenstein, Jacob
Izdano: (2019)

Photoshop Studio with Bert Monroy: Digital Painting
od: Monroy

Getting started with MATLAB 7 / a quick introduction for scientists and engineers /
od: Pratap, Rudra, 1964-
Izdano: (2006)

Representation learning for natural language processing /
od: Liu, Zhiyuan
Izdano: (2020)

Getting started with Mathematica
Izdano: (2002)

Natural language processing with PyTorch : build intelligent language applications using deep learning /
od: Rao, Delip, i dr.
Izdano: (2019)

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

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

Natural language processing with PyTorch : build intelligent language applications using deep learning /
od: Rao, Delip, i dr.
Izdano: (2019)

The natural language processing workshop : confidently design and build your own NLP projects with this easy-to-understand practical guide /
od: Chopra, Rohan, i dr.
Izdano: (2020)

Handbook of natural language processing /
Izdano: (2010)

Pretrained transformers for text ranking : BERT and beyond /
od: Lin, Jimmy, 1979-
Izdano: (2022)

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

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

Natural language processing for social media /
od: Farzindar, Anna Atefeh
Izdano: (2020)

Getting started in debate /
od: Goodnight, Lynn
Izdano: (1993)

Getting started in theatre /
od: Pinnell, Linda
Izdano: (1995)

Web Geek?s Guide to Google Chrome
od: Ledford; Davis

Natural language processing with Python /
od: Bird, Steven
Izdano: (2009)

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

Deep learning approaches for Bengali cyberbullying cetection on social media: a comparative study of BiLSTM, BiGRU and BERT models
od: Fahim, Kaji Mehedi Hasan, i dr.
Izdano: (2024)

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

The applied AI and natural language processing workshop : explore practical ways to transform your simple projects into powerful intelligent applications /
od: Sankar, Krishna, i dr.
Izdano: (2020)

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 /
Izdano: (2002)

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

Getting started : universalising quality primary education in Bangladesh /

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

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

Quality assessment of extracted information from newspaper comment sections using natural language processing
od: Deb, Arnob, i dr.
Izdano: (2024)

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

Transfer learning for natural language processing /
od: Azunre, Paul
Izdano: (2021)

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