• Suche: Programming PyTorch for Deep Learning

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221

Performance Prediction of Deep Learning Applications Training in GPU as a Service Systems
Marco Lattuada ; Eugenio Gianniti ; Danilo Ardagna ; et al.

GPU Performance models Machine learning
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222

Diseño, implementación y evaluación de técnicas de reconocimiento facial basadas en redes neuronales convolucionales
Monteagudo Valiente, Miguel Ángel ; Sánchez Salmerón, Antonio José ; Departamento de Ingeniería de Sistemas y Automática ; et al.
RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
instname
Universitat Politècnica de València (UPV)

Pytorch Artificial intelligence Vision Aprendizaje profundo Redes neuronales Inteligencia artificial …
Dissertation
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223

A Comparative Analysis for Optimizing Machine Learning Model Deployment in IoT Devices
Md. Faiyaz Abdullah Sayeedi ; Jannatul Ferdous Deepti ; Anas Mohammad Ishfaqul Muktadir Osmani ; et al.
Applied Sciences, Vol 14, Iss 13, p 5459 (2024)

IoT device machine learning deep learning energy efficiency Technology Engineering (General). C... …
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224

TF-Coder: Program Synthesis for Tensor Manipulations
Shi, Kensen ; Bieber, David ; Singh, Rishabh ; et al.

E-Ressource
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225

Об одной функции потерь для обучения нейросетевых моделей восстановления временных ряд
Yurtin, A.A.

imputation of missing va... УДК 004.048 PyTorch функция потерь... нейронные сети... time series …
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226

An introduction to PyTorch & Autograd
Paul O'Grady ; Kompetenzzentrum für nicht-textuelle Materialien

Computer Science Studienbereich Informati... Ingenieurwissenschaften
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227

Deep Convolutional Neural Networks for Automatic Detection of Orbital Blowout Fractures.
Li L ; Song X ; Guo Y ; et al.
Publisher: Lippincott Williams & Wilkins Country of Publication: United States NLM ID: 9010410 Publication Model: Print Cited Medium: Internet ISSN: 1536-3732 (Electronic) Linking ISSN: 10492275 NLM ISO Abbreviation: J Craniofac Surg

Adult Humans Tomography, X-Ray Comput... Nerve Net Orbital Fractures diagno...
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228

High performance distributed deep learning: a beginner's guide
Ammar Ahmad Awan ; Hari Subramoni ; Dhabaleswar K. Panda
Proceedings of the 24th Symposium on Principles and Practice of Parallel Programming. :452-454

4. Education 0202 electrical engineer... 02 engineering and techn... 10. No inequality 7. Clean energy 3. Good health
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229

PYTHON AND ITS LIBRARIES. PROCESSING DIGITAL INFORMATION USING MATPLOTLIB AND JUPYTER FEATURES
Shokhrukh Ibodullayevich Cholliyev ; Malika Zoyir qizi Ergasheva ; Maftunakhon Zhurabekovna Safarova

python matplotlib opencvpython jupyter numpy pandas …
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230

PYTHON AND ITS LIBRARIES. PROCESSING DIGITAL INFORMATION USING MATPLOTLIB AND JUPYTER FEATURES ; PYTHON И ЕГО БИБЛИОТЕКИ. ОБРАБОТКА ЦИФРОВОЙ ИНФОРМАЦИИ С ИСПОЛЬЗОВАНИЕМ MATPLOTLIB И JUPYTER ВОЗМОЖНОСТЕЙ.
Cholliyev, Shokhrukh ; Ergasheva, Malika ; Safarova, Maftunaxon
CENTRAL ASIAN JOURNAL OF EDUCATION AND COMPUTER SCIENCES (CAJECS); Vol. 1 No. 1 (2022): CAJECS; 46-48 ; 2181-3213

python matplotlib opencvpython jupyter numpy pandas …
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231

Sustav za raspoznavanje prometnih znakova ; System for traffic sign recognition
Šagovac, Kristijan ; Kalafatić, Zoran

strojno učenje duboko učenje umjetna inteligencija računalni vid klasifikacija umjetne neuronske mreže …
Dissertation
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232

Diseño, implementación y evaluación de una nueva estrategia de aprendizaje para redes neuronales convolucionales de transformación espacial de imágenes (STNs)
Navarro Moya, Francisco ; Sánchez Salmerón, Antonio José ; Departamento de Ingeniería de Sistemas y Automática ; et al.
RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
instname
Universitat Politècnica de València (UPV)

Aprendizaje profundo Processament d'imatges Deep learning INGENIERIA DE SISTEMAS Y... Máster Universitario en... Image processing …
Dissertation
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233

ALK Digital Pathology Outcome Predition, Multi Institutional, Restrospective Study (ALKDigPath)
Mayo Clinic ; Gustave Roussy, Cancer Campus, Grand Paris
ALK Digital Pathology Outcome Prediction

Report
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234

ManimML: Communicating Machine Learning Architectures with Animation
Helbling, Alec ; Chau, Duen Horng ; Helbling, Alec ; et al.

E-Ressource
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235

TensorLy: Tensor Learning in Python.
Kossaifi, Jean ; Panagakis, Yannis ; Anandkumar, Anima ; et al.
Journal of Machine Learning Research. 2019, Vol. 20 Issue 2-29, p1-6. 6p.

CALCULUS of tensors MACHINE learning PYTHON programming langu... DATA analysis ARTIFICIAL neural networ...
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236

Evaluation of maxillary sinusitis from panoramic radiographs and cone-beam computed tomographic images using a convolutional neural network.
Serindere, Gozde ; Bilgili, Ersen ; Yesil, Cagri ; et al.
Imaging Science in Dentistry; Jun2022, Vol. 52 Issue 2, p187-195, 9p

CONVOLUTIONAL neural net... TOMOGRAPHY RADIOGRAPHS SINUSITIS RECEIVER operating chara... MAXILLARY sinus diseases
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237

Accelerating High-Dimensional Temporal Modelling Using Graphics Processing Units for Pharmacovigilance Signal Detection on Real-Life Data.
SABATIER, Pierre ; FEYDY, Jean ; JANNOT, Anne-Sophie
Studies in Health Technology & Informatics; 2022, Vol. 294, p83-87, 5p

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239

Pretrained Neural Networks in HSC Chemistry Sim
Mansikka-aho, Jarkko

fi=Automaatiotekniikka|s... machine learning simulation neural networks (informa... artificial intelligence programming …
Dissertation
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240

Kymatio: Scattering Transforms in Python.
Andreux, Mathieu ; Angles, Tomás ; Exarchakis, Georgios ; et al.
Journal of Machine Learning Research. 2020, Vol. 21 Issue 48-77, p1-6. 6p.

COMPUTER software WAVELET transforms DEEP learning SIGNAL processing MACHINE learning PYTHON programming langu...
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