Fitness Challenge - Day 38 #food #fitness #nutrition #highprotein #weightlosstips #motivation Andreas Maier 7,52 тыс. подписчиков Скачать
Fitness Challenge - Day 38 #food #fitness #nutrition #highprotein #weightlosstips #motivation Скачать
Fitness Challenge - Day 37 #food #fitness #nutrition #highprotein #weightlosstips #motivation Скачать
Fitness Challenge - Day 36 #food #fitness #nutrition #highprotein #weightlosstips #motivation Скачать
Fitness Challenge - Day 35 #food #fitness #nutrition #highprotein #weightlosstips #motivation Скачать
Fitness Challenge - Day 35 #food #fitness #nutrition #highprotein #weightlosstips #motivation Скачать
Fitness Challenge - Day 33 #food #fitness #nutrition #highprotein #weightlosstips #motivation Скачать
Fitness Challenge - Day 20 Results #food #fitness #nutrition #cooking #weightlosstips #motivation Скачать
Beyond the Patterns 48 - Robert Sablatnig (TU Vienna): Multispectral Imaging & Writer Identification Скачать
Beyond the Patterns 47 - Heidi Christiansen (Sheffield): Automated Processing of Pathological Speech Скачать
Beyond the Patterns 44 - Christian Baumgartner: The next decade in automated medical image analysis Скачать
Beyond the Patterns 41 - David B. Lindell & Julien Martel: Implicit Neural Representation Networks Скачать
Beyond the Patterns 36 - Gitta Kutyniok – Deep Neural Networks: The Mystery of Generalization Скачать
Beyond the Patterns 32 - Raghavendra Selvan: Quantum Tensor Networks for Medical Image Analysis Скачать
Beyond the Patterns 31 - Roger Soberanis Uncertainty-based Graph Convolution Segmentation Refinement Скачать
Beyond the Patterns 30 - Jinwei Zhang (Cornell U): Adaptive Quantitative Susceptibility Mapping Скачать
Beyond the Patterns 29 - Fabian Isensee - nnU-Net: self-configuring deep learning image segmentation Скачать
Beyond the Patterns 27 - Luis Pineda - Active MR k-space Sampling with Reinforcement Learning Скачать
Beyond the Patterns 25 - Jochen Hoffmann - Information exchange as infringement of competition law Скачать
Beyond the Patterns 22 - Udaranga Wickramasinghe - Voxel2Mesh: 3D Mesh Models from Volumetric Data Скачать
Beyond the Patterns 21 - Florian Willomitzer - Fundamental Limits in Computational 3D Imaging Скачать
Beyond the Patterns 20 - Julia Schnabel - Smart Medical Imaging – From Sensors to Information Скачать
Beyond the Patterns 19 - Timothy Odonga – Fairness of Classifiers Across Skin Tones in Dermatology Скачать
Beyond the Patterns 18 - Mike Kestemont - Modelling the Historic Survival of Books and Authors Скачать
Beyond the Patterns 17 - Emil Sidky - Inverse problems in imaging and evidence for solution by CNNs Скачать
Beyond the Patterns 16 - Essam Rashed - Human head models with deep learning enabled dielectric Скачать
GIDRM 2020 Keynote - Known Operator Learning - An approach to unite Machine Learning and Physics Скачать
Beyond the Patterns 13: Julio Vera Gonzalez - Modelling of Gene Regulatory Networks in Cancer Скачать
Beyond the Patterns 8 - Mathias Unberath - Differentiable Mappings Between 2- & 3-D Data Domains Скачать
Beyond the Patterns - Episode 5 - Ivana Isgum - Deep learning for cardiovascular analysis in CT & MR Скачать
![Pattern Recognition [PR] - Q&A - Evaluation Measures and ROC Analysis](https://s2.save4k.ru/pic/G3M3E_LPpaY/mqdefault.jpg)
![Pattern Recognition [PR] Episode 39 - The Viola-Jones Algorithm](https://s2.save4k.ru/pic/gAYJga9YVEc/mqdefault.jpg)
![Pattern Recognition [PR] Episode 38 - Adaboost & Exponential Loss](https://s2.save4k.ru/pic/fwoshNG5QpI/mqdefault.jpg)
![Pattern Recognition [PR] Episode 37 - Adaboost - Concept](https://s2.save4k.ru/pic/SiB6K2TImYk/mqdefault.jpg)
![Pattern Recognition [PR] Episode 36 - Performance Measures on Finite Data](https://s2.save4k.ru/pic/RlxilgP25eo/mqdefault.jpg)
![Pattern Recognition [PR] Episode 35 - No Free Lunch Theorem & Bias-Variance Trade-off](https://s2.save4k.ru/pic/ibjN4G6ahCM/mqdefault.jpg)
![Pattern Recognition [PR] Episode 34 - Measures of Non-Gaussianity](https://s2.save4k.ru/pic/RAoiGCZANq8/mqdefault.jpg)
![Pattern Recognition [PR] Episode 33 - Independent Component Analysis and Gaussianity](https://s2.save4k.ru/pic/Zw3mCi0aAO8/mqdefault.jpg)
![Pattern Recognition [PR] Episode 32 - Independent Component Analysis - Introduction](https://s2.save4k.ru/pic/ku6cfaqXTCo/mqdefault.jpg)
![Pattern Recognition [PR] Episode 31 - EM Algorithm Example](https://s2.save4k.ru/pic/J2X-760nj5w/mqdefault.jpg)
![Pattern Recognition [PR] Episode 30 - Expectation Maximization Algorithm](https://s2.save4k.ru/pic/NaSORPKoij8/mqdefault.jpg)
![Pattern Recognition [PR] Episode 29 - Expectation Maximization - Introduction](https://s2.save4k.ru/pic/rZXfFBkJ0aA/mqdefault.jpg)
![Pattern Recognition [PR] Episode 28 - Laplacian Support Vector Machines](https://s2.save4k.ru/pic/z6zMmMbGEZE/mqdefault.jpg)
![Pattern Recognition [PR] Episode 27 - Kernel PCA and Sequence Kernels](https://s2.save4k.ru/pic/EC4qjTTZAio/mqdefault.jpg)
![Pattern Recognition [PR] Episode 26 - Mercer's Theorem and the Kernel SVM](https://s2.save4k.ru/pic/Zi3Fu0M3QFI/mqdefault.jpg)
![Pattern Recognition [PR] Episode 25 - Support Vector Machines - Optimization](https://s2.save4k.ru/pic/dQi9OyQah-I/mqdefault.jpg)
![Pattern Recognition [PR] Episode 24 - Duality in Optimization](https://s2.save4k.ru/pic/h5Up5FzCvWE/mqdefault.jpg)
![Pattern Recognition [PR] Episode 23 - Support Vector Machines - Concept](https://s2.save4k.ru/pic/KMjDEymy5wc/mqdefault.jpg)
![Pattern Recognition [PR] Episode 22 - Norm-dependent Gradients](https://s2.save4k.ru/pic/iGFnH9DI2bA/mqdefault.jpg)
![Pattern Recognition [PR] Episode 21 - Gradient Descent and Back-tracking Line Search](https://s2.save4k.ru/pic/bzAhxrmeSwU/mqdefault.jpg)
![Pattern Recognition [PR] Episode 20 - Multi-layer Perceptron](https://s2.save4k.ru/pic/FONoPLXmPPY/mqdefault.jpg)
![Pattern Recognition [PR] Episode 19 - Rosenblatt Perceptron](https://s2.save4k.ru/pic/uclj81wBdxQ/mqdefault.jpg)
![Pattern Recognition [PR] Episode 18 - Norm-dependent Regression](https://s2.save4k.ru/pic/H6wqBwasWHQ/mqdefault.jpg)
![Pattern Recognition [PR] Episode 17 - Norms and Unit Balls](https://s2.save4k.ru/pic/WSzA9YgKeEs/mqdefault.jpg)
![Pattern Recognition [PR] Episode 16 - Regularized Regression](https://s2.save4k.ru/pic/1yXuIpv2IW8/mqdefault.jpg)
![Pattern Recognition [PR] Episode 15 - Linear Discriminant Analysis - Examples](https://s2.save4k.ru/pic/ryFD7lQxNw0/mqdefault.jpg)
![Pattern Recognition [PR] Episode 14 - Linear Discriminant Analysis - Original Formulation](https://s2.save4k.ru/pic/XnhY66H-OGs/mqdefault.jpg)
![Pattern Recognition [PR] Episode 13 - Linear Discriminant Analysis - Rank-Reduced Form](https://s2.save4k.ru/pic/6YSDM1hCO6M/mqdefault.jpg)
![Pattern Recognition [PR] Episode 12 - Discriminant Analysis - Properties](https://s2.save4k.ru/pic/zTsZdXMKbS4/mqdefault.jpg)
![Pattern Recognition [PR] Episode 11 - Discriminant Analysis - Concept](https://s2.save4k.ru/pic/LoegZ_-z7h8/mqdefault.jpg)
![Pattern Recognition [PR] Episode 10 - Naive Bayes Classifier](https://s2.save4k.ru/pic/39OoS6BIcus/mqdefault.jpg)
![Pattern Recognition [PR] Episode 9 - Logistic Regression - Function Fit](https://s2.save4k.ru/pic/hv0R8jktQug/mqdefault.jpg)
![Pattern Recognition [PR] Episode 8 - Logistic Regression - Loss Function](https://s2.save4k.ru/pic/dZQNlV9DCQo/mqdefault.jpg)
![Pattern Recognition [PR] Episode 7 - The Exponential Family](https://s2.save4k.ru/pic/euPnbXQuppk/mqdefault.jpg)
![Pattern Recognition [PR] Episode 6 - Logistic Function Example](https://s2.save4k.ru/pic/gdxtzDFfR8E/mqdefault.jpg)
![Pattern Recognition [PR] Episode 5 - The Logistic Function](https://s2.save4k.ru/pic/UdtR5ZOMFWE/mqdefault.jpg)
![Pattern Recognition [PR] Episode 4 - Basics - Optimal Classification](https://s2.save4k.ru/pic/2MN_7DpPDkY/mqdefault.jpg)
![Pattern Recognition [PR] Episode 3 - Basics - The Bayes Theorem](https://s2.save4k.ru/pic/NNigmXxPbGw/mqdefault.jpg)