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Showing 201 - 220 of 634

201

scaLR: a low-resource deep neural network-based platform for single cell analysis and biomarker discovery.
Jogani S ; Pol AS ; Prajapati M ; et al.
Publisher: Oxford University Press Country of Publication: England NLM ID: 100912837 Publication Model: Print Cited Medium: Internet ISSN: 1477-4054 (Electronic) Linking ISSN: 14675463 NLM ISO Abbreviation: Brief Bioinform Subsets: MEDLINE

Humans Algorithms Sequence Analysis, RNA Single-Cell Analysis met... Neural Networks, Compute... Biomarkers metabolism
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202

Synthetic Data for Deep Learning
Necmi Gürsakal ; Sadullah Çelik ; Esma Birişçi ; et al.

Machine learning Computer vision
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203

Advancing AI-driven thematic analysis in qualitative research: a comparative study of nine generative models on Cutaneous Leishmaniasis data
Issam Bennis ; Safwane Mouwafaq
BMC Medical Informatics and Decision Making, Vol 25, Iss 1, Pp 1-14 (2025)

Artificial intelligence... Large language models Thematic analysis Grounded theory developm... Natural language process... Research automation
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204

Machine Learning y Deep Learning
Jesús Bobadilla Sancho ; Jesús Bobadilla Sancho

Deep learning (Machine l... Machine learning Python (Computer program...
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205

TensorFlow 1.x Deep Learning Cookbook : Over 90 Unique Recipes to Solve Artificial-intelligence Driven Problems with Python
Antonio Gulli ; Amita Kapoor ; Antonio Gulli ; et al.

Python (Computer program... Machine learning Artificial intelligence
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206

Deep Learning with JavaScript : Neural Networks in TensorFlow.js
Stanley Bileschi ; Eric Nielsen ; Shanqing Cai ; et al.

TensorFlow JavaScript (Computer pro... Machine learning Artificial intelligence
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207
208

Seamless Textual Version Using Deep Learning.
Deshmukh, Shubham ; Cho, Myung ; Mirzaei, Shahnam ; et al.

Dissertations Academic -- CSUN -- Engi... PYTHON PANDAS DEEP LEARNING INDICBART
Dissertation/ Thesis
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209

Machine Learning Engineering with Python : Manage the Lifecycle of Machine Learning Models Using MLOps with Practical Examples
Andrew P. McMahon ; Andrew P. McMahon

Machine learning Python (Computer program... Data mining
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210

Machine Learning with PyTorch and Scikit-Learn : Develop Machine Learning and Deep Learning Models with Python
Sebastian Raschka ; Yuxi (Hayden) Liu ; Vahid Mirjalili ; et al.

Deep learning (Machine l... Machine learning Python (Computer program... Data mining
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212

Heterogeneous computing for Deep Learning: deploying generative models via Intel OneAPI
Silke Donayre

CERN openlab online summer intern pro... summer-student programme
Report
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214

Video forgery detection and localization using optimized attention squeezenet adversarial network.
Kumari, C. H. Lakshmi ; Prasad, K. V.
Multimedia Tools & Applications; Dec2024, Vol. 83 Issue 40, p87697-87725, 29p

LONG short-term memory GENERATIVE adversarial n... TIME complexity ARTIFICIAL intelligence SOCIAL stability
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215

300 - 3D MR derived CT-like images of pelvic region from The Generative Adversarial Network (GAN).
Ina, Mr. Natee ; Rojchanaumpawan, Mr. Thirawut ; Thiangsook, Miss Wasinee ; et al.
Journal of Medical Imaging & Radiation Sciences. 2024 Supplement, Vol. 55 Issue 3, pN.PAG-N.PAG. 1p.

Hong Kong (China) Three-dimensional imagin... Pelvic bones Computed tomography Magnetic resonance imagi... Conferences & convention...
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216

Deep Learning with TensorFlow 2 and Keras : Regression, ConvNets, GANs, RNNs, NLP, and More with TensorFlow 2 and the Keras API
Antonio Gulli ; Dr. Amita Kapoor ; Sujit Pal ; et al.

Neural networks (Compute... Python (Computer program... Machine learning Artificial intelligence
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217

Demystifying Deep Learning : An Introduction to the Mathematics of Neural Networks
Douglas J. Santry ; Douglas J. Santry

Deep learning (Machine l... Neural networks (Compute...
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218

Large Language Models are Zero-Shot Fuzzers: Fuzzing Deep-Learning Libraries via Large Language Models
Deng, Yinlin ; Xia, Chunqiu Steven ; Peng, Haoran ; et al.

Computer Science - Softw...
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219

Advanced Deep Learning with TensorFlow 2 and Keras : Apply DL, GANs, VAEs, Deep RL, Unsupervised Learning, Object Detection and Segmentation, and More
Rowel Atienza ; Rowel Atienza

Neural networks (Compute... Python (Computer program... Machine learning Artificial intelligence
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220

Extracting quantitative biological information from bright-field cell images using deep learning.
Helgadottir S ; Midtvedt B ; Pineda J ; et al.
Publisher: AIP Publishing LLC Country of Publication: United States NLM ID: 101773785 Publication Model: eCollection Cited Medium: Internet ISSN: 2688-4089 (Electronic) Linking ISSN: 26884089 NLM ISO Abbreviation: Biophys Rev (Melville) Subsets: PubMed not MEDLINE

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