Getting started with deep learning for natural language processing : learn how to build NLP applications with deep learning /

Getting started with deep learning for natural language processing : learn how to build NLP applications with deep learning /

Bibliografiske detaljer
Hovedforfatter:	Patel, Sunil
Format:	Bog
Sprog:	English
Udgivet:	Delhi : BPB Publications, 2021.
Fag:	Natural language processing (Computer science). Deep Learning.
Classic Catalogue:	View this record in Classic Catalogue

Lignende værker

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

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

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

Predicting crime using deep learning
af: Shihab, Muhammad Nafees, et al.
Udgivet: (2024)

Damaged road detection using Image Processing and Deep Learning
af: Swadesh, Shimran Mahbub, et al.
Udgivet: (2022)

Traffic sign recognition using deep learning
af: Amir, Afia Binte, et al.
Udgivet: (2020)

Yoga posture recognition using the deep learning process
af: Islam, Abidul, et al.
Udgivet: (2023)

An efficient deep learning approach to detect skin Cancer
af: Islam, Ashfaqul, et al.
Udgivet: (2022)

A modern technique to detect potholes by Computer Vision and Deep Learning
af: Saif, Muntasir Mahmud, et al.
Udgivet: (2023)

Classification of peripheral blood cell images using deep learning
af: Aadi, Oyshik Ahmed, et al.
Udgivet: (2024)

Multimodal human detection in disaster situations using deep learning & artificial intelligence
af: Rafat, Md. Tasbi, et al.
Udgivet: (2023)

Predicting regional accents of Bengali language using deep learning
af: Ibrahim, Md. Abu, et al.
Udgivet: (2022)

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

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

Image recognition by deep learning
af: Mohiuddin, Karishma, et al.
Udgivet: (2018)

Automatic subtitle generation for Bengali multimedia using deep learning
af: Rhythm, Ehsanur Rahman, et al.
Udgivet: (2024)

Application of deep learning in MRI classification of Schizophrenia
af: Joyee, Ramisa Fariha, et al.
Udgivet: (2024)

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

Smart companion agent for mental well-being through Deep Learning and NLP
af: Khan, Rafiur, et al.
Udgivet: (2021)

Document template identification and data extraction using machine learning and deep learning approach
af: Roy, Kaushik, et al.
Udgivet: (2024)

Deep Learning based Medicinal Plants Leaf Recognition
af: Mahalanabish, Tonusri
Udgivet: (2023)

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

Detection of alzheimer's disease using deep learning
af: Hasan, Mahmudul, et al.
Udgivet: (2021)

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

Diabetic retinopathy detection and classification by using deep learning
af: Hossain, Shahriar, et al.
Udgivet: (2022)

DeepWPD: A deep learning based wavelet packet decomposition to remove Moiré pattern from screen capture images.
af: Khan, Ibrahim
Udgivet: (2023)

Shield key: a deep learning process for the generation of public & private keys using hybrid architecture in blockchain
af: Joy, Tanvir Ahmed, et al.
Udgivet: (2021)

Deep learning-based real-time pothole detection for avoiding road accident
af: Basher, Rafsan, et al.
Udgivet: (2022)

Weather forecasting using Deep Learning
af: Fahad, Sheikh Abdul, et al.
Udgivet: (2023)

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

Real-time mastitis detection in livestock using deep learning and machine learning leveraging edge devices
af: Ghosh, Kawshik Kumar, et al.
Udgivet: (2023)

An implementation and analysis of deep learning models for the detection of wheat diseases
af: Zubair, Ahmad, et al.
Udgivet: (2024)

Deep learning-based waste classification system for efficient waste management
af: Nakib, Abdullah Al, et al.
Udgivet: (2022)

Empowering mobile network planning through deep learning: a path to democratization
af: Nabi, Syed Tauhidun
Udgivet: (2024)

An efficient deep learning approach to detect citrus leaves disease
af: Emon, Shaharear Hossain, et al.
Udgivet: (2024)

A deep learning approach to integrate human-level understanding in a Chatbot
af: Al Mamun, Amirul Islam, et al.
Udgivet: (2021)

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

Implementing machine learning techniques to forecast floods In Bangladesh based on historical data
af: Toufique, S.M, et al.
Udgivet: (2024)

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

Leveraging deep learning algorithms for the timely detection of diseases in bean leaves
af: Fiona, Driciru, et al.
Udgivet: (2024)