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81

BIG DATA Analytics: Mineração e Análise de Dados
Oliveira, R ; Oliveira, R

Data Science Machine Learning
Buch
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84

Sustav za detekciju i praćenje dlana
Glogar, Lovro ; Kalafatić, Zoran

TECHNICAL SCIENCES. Comp... TEHNIČKE ZNANOSTI. Račun... konvolucijske neuronske... convolutional neural net... detekcija objekata deep learning …
Dissertation
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85

Cassava Leaf Disease Detection Using Convolutional Neural Networks
Rafi Surya ; Elliana Gautama
2020 6th International Conference on Science in Information Technology (ICSITech). :97-102

2. Zero hunger 0202 electrical engineer... 0401 agriculture, forest... 04 agricultural and vete... 02 engineering and techn...
Fachzeitschrift
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86

X-ray body Part Classification Using Custom CNN
Reeja S R ; Sangameswar J ; Solomon Joseph Joju ; et al.
EAI Endorsed Transactions on Pervasive Health and Technology. 10

03 medical and health sc... 0302 clinical medicine 0202 electrical engineer... 02 engineering and techn...
Fachzeitschrift
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87

Introduction to Tensor Processing Units
Paper, David
State-of-the-Art Deep Learning Models in TensorFlow ; page 127-152 ; ISBN 9781484273401 9781484273418

Buch
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88

Abstract 10360: Prognostic Decision Making of PAD Patients by Angioscopic Imaging Using a Deep Machine Learning.
Miyagi, Naoto
Circulation. 2018 Supplement, Vol. 138, pA10360-A10360. 1p.

DEEP learning PATIENT decision making MACHINE learning IMAGE analysis BLOOD vessels
Fachzeitschrift
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89

Introduction to deep learning
van der Burg, Sven ; orcid:0000-0003-1250- ; Fouilloux, Anne ; et al.

deep learning python keras neural networks tensorflow research software
E-Ressource
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90

Reconocimiento de objetos utilizando técnicas de aprendizaje profundo
Gómez Alvarado, Diego Felipe ; Cerón Correa, Alexander

training aprendizaje profundo capas convolutional neural net... REDES NEURALES (COMPUTAD... entrenamiento …
Dissertation
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91

Abstract 16611: The Feasibility of Artificial Intelligence in Interpretation of the Treadmill Test
Yoo Ri Kim ; Kihong Lee
Circulation. 148

03 medical and health sc... 0302 clinical medicine 3. Good health
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92

Introduction to deep learning
van der Burg, Sven ; orcid:0000-0003-1250- ; Fouilloux, Anne ; et al.

deep learning python keras neural networks tensorflow research software
E-Ressource
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93

Deep Learning Algorithms using Tensorflow for Processing Scientific Production Data ; Algoritmos de Deep Learning utilizando Tensorflow para el Tratamiento de Datos de Producción Científica
Falconí Punguil, Diego Geovanny
Tesla Revista Científica; Vol. 3 No. 2 (2023); e226 ; Tesla Revista Científica; Vol. 3 Núm. 2 (2023); e226 ; 2796-9320 ; 10.55204/trc.v3i2

Algoritmos Redes Neuronales Aprendizaje Profundo TensorFlow KDD Algorithms …
Fachzeitschrift
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94

Introduction to Deep Learning: From mathematical equations to Python code ; Initiation au Deep Learning : Des équations mathématiques aux codes Python
Kazadi, Joël, K ; Université de Kinshasa ; International University of Applied Sciences
https://hal.science/hal-04304710 ; Master. Deep Learning, https://www.researchgate.net/publication/375723070_Initiation_au_Deep_Learning_Des_equations_mathematiques_aux_codes_Python, Congo-Kinshasa. 2023, pp.40 ; Deep Learning.

https://www.researchgate... Congo - Kinshasa Backward propagation TensorFlow Réseaux de neurones Forward propagation …
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96

Detekce začátku a konce komplexu QRS s využitím hlubokého učení
Smíšek, Radovan ; Šaclová, Lucie ; Müller, Jakub ; et al.

E-Ressource
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97

Detekce začátku a konce komplexu QRS s využitím hlubokého učení
Smíšek, Radovan ; Šaclová, Lucie ; Müller, Jakub ; et al.

E-Ressource
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98

Detekce začátku a konce komplexu QRS s využitím hlubokého učení
Smíšek, Radovan ; Šaclová, Lucie ; Müller, Jakub ; et al.

E-Ressource
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99

An Introduction to Apache TVM
Leandro Nunes ; Kompetenzzentrum für nicht-textuelle Materialien

Computer Science Studienbereich Informati... Ingenieurwissenschaften
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100

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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