Deep learning for natural language processing : creating neural networks with Python /

Deep learning for natural language processing : creating neural networks with Python /

Detalles Bibliográficos
Autor Principal:	Goyal, Palash
Outros autores:	Pandey, Sumit, Jain, Karan
Formato:	Libro
Idioma:	English
Publicado:	Berkeley, CA : Apress, c2018.
Subjects:	Natural language processing (Computer science). Machine learning. Computer science. Speech processing systems.
Classic Catalogue:	View this record in Classic Catalogue

Títulos similares

Transfer learning for natural language processing /
por: Azunre, Paul
Publicado: (2021)

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

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

Speech coding algorithms : foundation and evolution of standardized coders /
por: Chu, Wai C., 1967-
Publicado: (2003)

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

Sentiment analysis using Natural Language Processing (NLP) & deep learning
por: Islam, Kazi Minhazul, et al.
Publicado: (2022)

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

Classification of Bangla regional languages and recognition of artificial Bangla speech using deep learning
por: Hossain, Prommy Sultana
Publicado: (2022)

Deep learning /
por: Goodfellow, Ian
Publicado: (2016)

Deep learning for beginners : a beginner's guide to getting up and running with deep learning from scratch using Python /
por: Rivas, Pablo
Publicado: (2020)

Deep learning with Python /
por: Chollet, François
Publicado: (2018)

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

Computational analysis and detection of Bengali communal violent speech
por: Khondoker, Abdullah, et al.
Publicado: (2024)

Multi-modal hate speech detection using machine learning
por: Shill, Ponkoj Chandra, et al.
Publicado: (2021)

Representation learning for natural language processing /
por: Liu, Zhiyuan
Publicado: (2020)

Learning a deep neural network for predicting phishing website
por: Das, Robat, et al.
Publicado: (2019)

Natural language processing with Python /
por: Bird, Steven
Publicado: (2009)

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

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

TikNep: content analysis of Nepali TikTok users using natural language processing
por: Dhakal, Aakar, et al.
Publicado: (2024)

Identifying code-mixed and code-switched hateful remarks on social media using NLP
por: Sinha, Sumaiya, et al.
Publicado: (2024)

Investigating the use of deep learning for textual entailment in BRACU-NLI dataset
por: Haque, Farah Binta, et al.
Publicado: (2024)

Introduction to natural language processing /
por: Eisenstein, Jacob
Publicado: (2019)

Image processing and deep learning approach to evaluate earthquake resistance of urban buildings
por: Ahmed, Yasin, et al.
Publicado: (2018)

Practical natural language processing : a comprehensive guide to building real-world NLP systems /
por: Vajjala, Sowmya, et al.
Publicado: (2020)

Human sentiment analysis using natural language processing
por: Shamya, Md. Shamiul Haque Khan, et al.
Publicado: (2024)

Deep convolutional GAN-based data augmentation for medical image classification
por: Datta, Joy, et al.
Publicado: (2022)

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

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

Grokking deep learning /
por: Trask, Andrew W.
Publicado: (2019)

Deep learning approaches for Bengali cyberbullying cetection on social media: a comparative study of BiLSTM, BiGRU and BERT models
por: Fahim, Kaji Mehedi Hasan, et al.
Publicado: (2024)

Analyzing CV/resume using natural language processing and machine learning
por: Reza, Md. Tanzim, et al.
Publicado: (2018)

Prostate cancer detection using deep learning neural network with transfer learning approach
por: Badhon, Ariful Islam Mahmud, et al.
Publicado: (2022)

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

Gender classification in Bangla language using deep learning-based voice analysis
por: Hakim, Talukder Juhaer, et al.
Publicado: (2024)

Behavior change analysis due to violent video gaming using deep learning models
por: Rahman, Akhlak Ur, et al.
Publicado: (2024)

Corn leaf disease detection using deep convolution neural network
por: Rabbi, Rawhatur, et al.
Publicado: (2023)

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

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

Comprehensive analysis and development of deep learning models for Bengali character’s spectrogram image classification in child speech: introduction of spectro SETNet
por: Ahmed, Syed Istiaque, et al.
Publicado: (2024)