Transformers for natural language processing : build innovative deep neural network architectures for NLP with Python, Pytorch, TensorFlow, BERT, RoBERTa, and more /

Transformers for natural language processing : build innovative deep neural network architectures for NLP with Python, Pytorch, TensorFlow, BERT, RoBERTa, and more /

Bibliografiske detaljer
Hovedforfatter:	Rothman, Denis
Format:	Bog
Sprog:	English
Udgivet:	Birmingham : Packt Publishing, 2021.
Fag:	Natural language processing (Computer science). Artificial intelligence. Computer science. Electronic transformers.
Classic Catalogue:	View this record in Classic Catalogue

Lignende værker

A review on the role of artificial intelligence in healthcare transformation
af: Brishti, Iffat Ara
Udgivet: (2024)

Performance comparison of transformer-based models for multi-reasoning in machine reading comprehension
af: Sayma, Sadika, et al.
Udgivet: (2024)

Natural language processing with TensorFlow : teach language to machines using Python's deep learning library /
af: Ganegedara, Thushan
Udgivet: (2018)

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

Research on the latest trends in Bangla named entity recognition
af: Farhan, Niloy, et al.
Udgivet: (2023)

Transformer vs. RASA model: A thorough attempt to develop conversational Artificial Intelligence to provide automated services to university disciples
af: Zahir, Shafkat, et al.
Udgivet: (2023)

Fundamentals of artificial neural networks /
af: Hassoun, Mohamad H.
Udgivet: (1995)

NLP-based AI robot for intelligent interaction
af: Dastagir, Golam, et al.
Udgivet: (2024)

A quantum Z-transform
af: Sarker, Md. Sajibur Rahman
Udgivet: (2024)

ECG disease detection & feature extraction by wavelet transformation
af: Imam, Saif, et al.
Udgivet: (2016)

An interpretable transformer based approach to classify Malaria from blood cell images
af: Islam, Mehafuza, et al.
Udgivet: (2023)

Introduction to artificial intelligence and expert systems /
af: Patterson, Dan W., 1930-
Udgivet: (1990)

Introduction to artificial intelligence and expert systems /
af: Patterson, Dan W., 1930-
Udgivet: (1990)

Artificial intelligence : a modern approach /
af: Russell, Stuart J. (Stuart Jonathan)
Udgivet: (2010)

Artificial intelligence : a guide to intelligent systems /
af: Negnevitsky, Michael
Udgivet: (2002)

Bayesian Artificial Intelligence /
Udgivet: (2018)

Artificial intelligence : a modern approach /
af: Russell, Stuart J. (Stuart Jonathan)
Udgivet: (2016)

Artificial intelligence : a modern approach /
af: Russell, Stuart J. (Stuart Jonathan), et al.
Udgivet: (2022)

Artificial neural network modelling /
Udgivet: (2016)

Making AI intelligible :
af: Cappelen, Herman

Artificial Intelligence : a new synthesis /
af: Nilsson, Nils J., 1933-
Udgivet: (1998)

Artificial intelligence /
af: Rich, Elaine
Udgivet: (1991)

Artificial intelligence : a modern approach /
af: Russell, Stuart J. (Stuart Jonathan)
Udgivet: (2003)

Introduction to artificial intelligence /
af: Charniak, Eugene
Udgivet: (1985)

Principles of artificial intelligence /
af: Nilsson, Nils J., 1933-
Udgivet: (1980)

Artificial intelligence /
af: Winston, Patrick Henry
Udgivet: (1992)

Artificial intelligence at MIT : expanding frontiers /
Udgivet: (1990)

Introduction to artificial intelligence /
af: Jackson, Philip C., 1949-
Udgivet: (1985)

Transformers : principles and applications /
af: Gebert, Kenneth L.
Udgivet: (1974)

Mathematical methods in artificial intelligence /
af: Bender, Edward A., 1942-
Udgivet: (1996)

Implementing A.I based solutions to understand & predict consumer sentiment
af: Bin Ahmed, Omar
Udgivet: (2023)

Design and implementation of an automated transformer monitoring system
af: Purno, Mumtahina Tasnim, et al.
Udgivet: (2024)

Predicting epileptic seizure from Electroencephalography (EEG) using hilbert huang transformation and neural network
af: Rahman, Md. Oliur, et al.
Udgivet: (2015)

Java Deep Learning Cookbook : Train neural networks for classification, NLP, and reinforcement learning using Deeplearning4j /
af: Raj, Rahul
Udgivet: (2019)

A hybrid deep learning model and explainable AI-based Bengali hate speech multi-label classification and interpretation
af: Shakil, Mahmudul Hasan
Udgivet: (2023)

Introduction to AI robotics /
af: Murphy, Robin, 1957-
Udgivet: (2000)

Intelligent systems and robotics /
Udgivet: (2000)

Artificial intelligence : a modern approach /
af: Russell, Stuart J. (Stuart Jonathan)
Udgivet: (2016)

Schaum's outline of theory and problems of Laplace transforms /
af: Spiegel, Murray R.
Udgivet: (1965)

Start up business solution using machine learning
af: Sohan, Saad Ahmed, et al.
Udgivet: (2018)