• Suche: Introduction to Computer Vision with TensorFlow

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1

Neural Networks for Beginners. A fast implementation in Matlab, Torch, TensorFlow
Giannini, Francesco ; Laveglia, Vincenzo ; Rossi, Alessandro ; et al.

Computer Science - Learn... Computer Science - Compu... Computer Science - Mathe... Statistics - Machine Lea...
Report
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2

Analysis and research of computer vision methods for object recognition in images
CERNEV, Evgheni ; CATRUC, Mariana ; COJOCARU, Svetlana

aplicație mobilă computer vision rețele neuronale mobile application neural networks TensorFlow Lite
Dissertation
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3

Introduction to Computer Vision and Real Time Deep Learning-based Object Detection
Liang Dai ; James G. Shanahan
Proceedings of the 26th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining. :3523-3524

11. Sustainability 0202 electrical engineer... 02 engineering and techn...
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4

Introduction to Computer Vision and Realtime Deep Learning-based Object Detection
James G. Shanahan
Proceedings of the 29th ACM International Conference on Information & Knowledge Management. :3515-3516

11. Sustainability 0202 electrical engineer... 02 engineering and techn...
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5

Object detection with artificial vision and neural networks for service robots
Pinto, Tiago Alexandre Barbosa ; Lopes, Gil ; Universidade do Minho
urn:tid:202302024

Deep learning Computer vision Convolutional neural net... Object detection Service robot TensorFlow
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6

Traffic Sign Classification Using Convolutional Neural Networks and Computer Vision
et.al, Anuraag Velamati ; et.al, Anuraag Velamati
Turkish Journal of Computer and Mathematics Education (TURCOMAT); Vol. 12 No. 3 (2021); 4244 - 4250; 3048-4855

E-Ressource
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7

Performance Analysis of Deep Neural Networks Using Computer Vision
Nidhi Sindhwani ; Rohit Anand ; Meivel S. ; et al.
EAI Endorsed Transactions on Industrial Networks and Intelligent Systems, Vol 8, Iss 29 (2021)

computer vision object detection deep learning deep neural network image classification artificial intelligence …
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8

Traffic Sign Classification Using Convolutional Neural Networks and Computer Vision
Anuraag Velamati et.al
Turkish Journal of Computer and Mathematics Education (TURCOMAT). 12:4244-4250

0202 electrical engineer... 02 engineering and techn...
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9

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10

X-ray body Part Classification Using Custom CNN.
S. R., Reeja ; J., Sangameswar ; Joju, Solomon Joseph ; et al.
EAI Endorsed Transactions on Pervasive Health & Technology; 2024, Vol. 10 Issue 1, p1-8, 8p

CONVOLUTIONAL neural net... IMAGE recognition (Compu... DEEP learning X-ray imaging IMAGE analysis
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11

Green AI: A Preliminary Empirical Study on Energy Consumption in DL Models Across Different Runtime Infrastructures
Alizadeh, Negar ; Castor, Fernando

Computer Science - Softw... Computer Science - Machi...
Report
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12

Basler.
Produktion. 10/30/2024, Issue 17, p37-37. 1p.

ARTIFICIAL intelligence MANUFACTURING industries COMPUTER software COMPUTER vision IMAGE analysis
Zeitschrift
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13

Künstliche Intelligenz ganz einfach integrieren. (German)
Ortmeyer, Cliff
Elektronik Industrie; 3/8/2022, p26-29, 4p

AMAZON Web Services Inc. NATURAL language process... IMAGE recognition (Compu... SINGLE-board computers DATA privacy ARTIFICIAL intelligence
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14

Application of transfer learning in the classification of three bovine breeds using artificial neural networks.
Cohen Teherán, Luis M. ; Bolívar Vergara, Diana M. ; González Herrera, Luis G.
Revista Facultad Nacional de Agronomía Medellín. 2024 suplemento, Vol. 77, p81-81. 1/2p.

CONVOLUTIONAL neural net... IMAGE recognition (Compu... ARTIFICIAL neural networ... WEBSITES WEB design
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15

Evaluación de modelos de visión por computador en video para la detección de la pose humana y caída ; Evaluation of computer vision models in video for pose and fall detection
Calvache Briceño, Daniela Andrea
Bishop, C. M. (2006). Pattern recognition and machine learning. springer ; López Quintero, M. I. (2016). Estimación de la pose humana 2D en imágenes estéreo. ; LI, Xiu, et al. 3D Pose Detection of Closely Interactive Humans Using Multi-View Cameras. Sensors, 2019, vol. 19, no 12, p. 2831. ; Wang, C., Wang, Y., & Yuille, A. L. (2013). An approach to pose-based action recognition. In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (pp. 915-922). ; Andriluka, M., Pishchulin, L., Gehler, P., & Schiele, B. (2014). 2d human pose estimation: New benchmark and state of the ....

Aprendizaje profundo Detección de caídas Estimación de pose Inteligencia artificial Modelos de visión por co... Incidencia & prevención... …
Dissertation
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16

DEEP LEARNING FOR GESTURE RECOGNITION IN SPORTIVE TRAINING OPERATION PERFORMED BY STANDALONE SPECIALIZED NEURAL NETWORK VISION-BASED SYSTEMS
Bernardo Lanza ; Cristina Nuzzi ; Simone Pasinetti ; et al.

Deep Learning biomechanics metrology computer Vision
Konferenz
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17

Hands-On Vision and Behavior for Self-Driving Cars
Venturi, Luca ; Korda, Krishtof ; Venturi, Luca ; et al.

E-Ressource
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18

TensorFlow 2 Reinforcement Learning Cookbook
Palanisamy, Praveen ; Palanisamy, Praveen ; Palanisamy, Praveen ; et al.

E-Ressource
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19

Hands-On Convolutional Neural Networks with TensorFlow
Zafar, Iffat ; Tzanidou, Giounona ; Burton, Richard ; et al.

E-Ressource
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20

75 Computer vision for object detection; machine learning-based identification of surgical equipment
Dean Mohamedally ; Neil J. Sebire ; Yun Fu ; et al.
Abstracts. :A29.3-A30

03 medical and health sc... 0302 clinical medicine 3. Good health
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