Suchergebnisse - "Deep Learning with Python"

Integrating Deep Learning and Python for Effective Sign Language Recognition

Autoren: Raj Kumar Angad Anand Suryansh Chaudhary et al.

Quelle: 2024 International Conference on Progressive Innovations in Intelligent Systems and Data Science (ICPIDS). :490-495

DeepOnto: A Python package for ontology engineering with deep learning: A Python Package for Ontology Engineering with Deep Learning

Autoren: He, Y Chen, J Dong, H et al.

Quelle: He, Y, Chen, J, Dong, H, Horrocks, I, Allocca, C, Kim, T & Sapkota, B 2024, 'DeepOnto : A Python Package for Ontology Engineering with Deep Learning', Semantic Web, vol. 15, no. 5, pp. 1991-2004. https://doi.org/10.3233/SW-243

Schlagwörter: FOS: Computer and information sciences, Computer Science - Machine Learning, Computer Science - Logic in Computer Science, Computer Science - Computation and Language, Language Mode, Ontology, Computer Science - Artificial Intelligence, Language Model, Machine Learning (cs.LG), Logic in Computer Science (cs.LO), Deep Learning, Artificial Intelligence (cs.AI), Ontology Engineering, Computation and Language (cs.CL), OWL, Python

Zugangs-URL: http://arxiv.org/abs/2307.03067
https://ora.ox.ac.uk/objects/uuid:968bfb1f-3385-45e0-b470-06b38bb84b0f
https://doi.org/10.3233/sw-243568

Deep learning with Python (2ª ed) - François Chollet - Manning, outubro 2021, 504 pp.

Autoren: Cunha, Luís Repositório ISMT

Weitere Verfasser: Cunha, Luís Repositório ISMT

Schlagwörter: Recensão - Review, Python - Python, Informática - Computing

Dateibeschreibung: application/pdf

Relation: 2184-3929

Verfügbarkeit: http://repositorio.ismt.pt/jspui/handle/123456789/1484

PERCEPTION OF HUMAN EXPRESSION, AGE AND GENDER RELATED VARIATIONS OF EMOTIONRECOGNITION BASED ON LIVE CAMERA IMAGES IN DEEP LEARNING USING PYTHON

Quelle: BSSS Journal of Computer. 14:1-7

Leveraging deep learning for Python version identification

Autoren: Gerhold, Marcus Solovyeva, Lola Zaytsev, Vadim

Quelle: CEUR workshop proceedings. 3567:33-40

Schlagwörter: Deep Learning, CodeBERT, version identification, Python

Zugangs-URL: https://research.utwente.nl/en/publications/f0f8b2f7-dc79-4515-a968-d55e36f0bbae

A comparative analysis of GPUs, TPUs, DPUs, and QPUs for deep learning with python

Autoren: Ayoub Allali Zineb El Falah Ayoub Sghir et al.

Quelle: Indonesian Journal of Electrical Engineering and Computer Science. 38:1324

Automatic Photo Enhancer Using Machine Learning and Deep Learning with Python

Autoren: S. Saravanan Hemal Shingloo Nameera Sajid et al.

Quelle: Signals and Communication Technology ISBN: 9783031479410

Diagnosis of Glioma, Menigioma and Pituitary brain tumor using MRI images recognition by Deep learning in Python

Autoren: Seyed Masoud Ghoreishi Mokri Newsha Valadbeygi Vera Grigoryeva

Quelle: EAI Endorsed Transactions on Intelligent Systems and Machine Learning Applications. 1

Deep Learning with Python : Learn Best Practices of Deep Learning Models with PyTorch

Autoren: Nikhil Ketkar Jojo Moolayil

Resource Type: eBook.

Schlagworte: Data mining, Machine learning, Python (Computer program language)

Categories: COMPUTERS / Languages / Python, COMPUTERS / Artificial Intelligence / General, COMPUTERS / Programming / Open Source, MATHEMATICS / Probability & Statistics / General

SHAFTS (v2022.3): a deep-learning-based Python package for Simultaneous extraction of building Height And FootprinT from Sentinel Imagery

Autoren: Ruidong Li Ting Sun Fuqiang Tian et al.

Quelle: Geoscientific Model Development, Vol 16, Pp 751-778 (2023)

Schlagwörter: QE1-996.5, 13. Climate action, 11. Sustainability, 0401 agriculture, forestry, and fisheries, Geology, 04 agricultural and veterinary sciences, 15. Life on land, 01 natural sciences, 0105 earth and related environmental sciences

Dateibeschreibung: application/pdf

Zugangs-URL: https://gmd.copernicus.org/articles/16/751/2023/
https://doaj.org/article/7a4adf71a491478abb50e23c96b2ea19
https://discovery-pp.ucl.ac.uk/id/eprint/10164120/

Deteksi Dan Pengenalan Plat Karakter Nomor Kendaraan Menggunakan OpenCV Dan Deep Learning Berbasis Python

Autoren: Mochammad Zakiyamani Trisiwi Indra Cahyani Dwiza Riana et al.

Quelle: INTECOMS: Journal of Information Technology and Computer Science. 5:56-64

Schlagwörter: 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

Deep Learning with Python

Autoren: Francois Chollet

Resource Type: eBook.

Schlagworte: Neural networks (Computer science), Machine learning, Python (Computer program language)

Categories: COMPUTERS / Languages / Python, COMPUTERS / Artificial Intelligence / General, COMPUTERS / Image Processing, COMPUTERS / Data Science / Neural Networks, COMPUTERS / Programming / General, COMPUTERS / Languages / General, COMPUTERS / Internet / Search Engines, COMPUTERS / Speech & Audio Processing

Deep Learning with Python : A Hands-on Introduction

Autoren: Nikhil Ketkar

Resource Type: eBook.

Schlagworte: Python (Computer program language), Data mining, Machine learning

Categories: COMPUTERS / Artificial Intelligence / General, COMPUTERS / Programming / Compilers, COMPUTERS / Computer Science, COMPUTERS / Programming / General

Skin Disease Recognition and Classification Using Machine Learning and Deep Learning in Python

Autoren: Masum Shah Junayed Arezoo Sadeghzadeh Baharul Islam

Quelle: Artificial Intelligence for Disease Diagnosis and Prognosis in Smart Healthcare ISBN: 9781003251903

SHAFTS (v2022.3): a deep-learning-based Python package for simultaneous extraction of building height and footprint from sentinel imagery

Autoren: R. Li T. Sun F. Tian et al.

Quelle: Geoscientific Model Development, Vol 16, Pp 751-778 (2023)

Schlagwörter: Geology, QE1-996.5

Dateibeschreibung: electronic resource

Relation: https://gmd.copernicus.org/articles/16/751/2023/gmd-16-751-2023.pdf; https://doaj.org/toc/1991-959X; https://doaj.org/toc/1991-9603

Zugangs-URL: https://doaj.org/article/7a4adf71a491478abb50e23c96b2ea19

SHAFTS – A deep-learning-based Python package for Simultaneous extraction of building Height And Footprint from Sentinel Imagery

Autoren: Ruidong Li Ting Sun Fuqiang Tian et al.

Schlagwörter: 11. Sustainability

Bigdata and Deep Learning: Using Python Keras Predict Patient Diabetes and Employee’s Wages per Hour

Autoren: C. Rajeev A. Damodar

Quelle: International Journal of Engineering and Advanced Technology. 9:175-178

Schlagwörter: 3. Good health

Deep Learning with Python, Third Edition

Autoren: Francois Chollet Matthew Watson

Resource Type: eBook.

Categories: COMPUTERS / Data Science / Machine Learning, COMPUTERS / Data Science / Neural Networks, COMPUTERS / Languages / Python

Applied Neural Networks with TensorFlow 2: API Oriented Deep Learning with Python

Autoren: Orhan Gazi Yalçın

Deep Learning with Python: Learn Best Practices of Deep Learning Models with PyTorch

Autoren: Nikhil Ketkar Jojo Moolayil