Optimization
الأمثَلَة
عملية ضبط المعلمات حوسبياً للوصول إلى أدنى نسبة خطأ أو أفضل أداء ممكن.
Optimization
Also translated asتحسين الأداء الحسابي، الـمُفاضلة العددية، ايجاد الحل الامثل، أمثَلَة
First appears in this corpus in: Nouvelles méthodes pour la détermination des orbites des comètes (Method of Least Squares) (1805)
Appears in these papers
- Adaptive Subgradient Methods for Online Learning and Stochastic Optimization2011in the sky ✦
- Intriguing Properties of Neural Networks2014in the sky ✦
- Practical Bayesian Optimization of Machine Learning Algorithms2012in the sky ✦
- Practical Bayesian Optimization of Machine Learning Algorithms2012in the sky ✦
- Learning Long-Term Dependencies with Gradient Descent is Difficult1994in the sky ✦
- A Computational Approach to Edge Detection1986in the sky ✦
- Conditional Random Fields: Probabilistic Models for Segmenting and Labeling Sequence Data2001in the sky ✦
- Cyclical Learning Rates for Training Neural Networks2017in the sky ✦
- Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks2015in the sky ✦
- K-SVD: An Algorithm for Designing Overcomplete Dictionaries for Sparse Representation2006in the sky ✦
- Dynamic Programming1957in the sky ✦
- Explaining and Harnessing Adversarial Examples2015in the sky ✦
- Stochastic Relaxation, Gibbs Distributions, and the Bayesian Restoration of Images1984in the sky ✦
- GloVe: Global Vectors for Word Representation2014in the sky ✦
- On the Difficulty of Training Recurrent Neural Networks2013in the sky ✦
- Méthode Générale pour la Résolution des Systèmes d'Équations Simultanées1847in the sky ✦
- Highway Networks2015in the sky ✦
- A Tutorial on Hidden Markov Models and Selected Applications in Speech Recognition1989in the sky ✦
- Hyperband: A Novel Bandit-Based Approach to Hyperparameter Optimization2018in the sky ✦
- Optimizing Neural Networks with Kronecker-Factored Approximate Curvature2015in the sky ✦
- Regression Shrinkage and Selection via the Lasso1996in the sky ✦
- Nouvelles méthodes pour la détermination des orbites des comètes (Method of Least Squares)1805in the sky ✦
- The Regression Analysis of Binary Sequences1958in the sky ✦
- The Lottery Ticket Hypothesis: Finding Sparse, Trainable Neural Networks2019in the sky ✦
- Equation of State Calculations by Fast Computing Machines1953in the sky ✦
- Natural Gradient Works Efficiently in Learning1998in the sky ✦
- Nearest Neighbor Pattern Classification1967in the sky ✦
- A Method for Solving the Convex Programming Problem with Convergence Rate O(1/k²)1983in the sky ✦
- No Free Lunch Theorems for Optimization1997in the sky ✦
- No Free Lunch Theorems for Optimization1997in the sky ✦
- Neural Tangent Kernel: Convergence and Generalization in Neural Networks2018in the sky ✦
- RAFT: Recurrent All-Pairs Field Transforms for Optical Flow2020in the sky ✦
- RMSProp: Divide the Gradient by a Running Average of Its Recent Magnitude2012in the sky ✦
- A Stochastic Approximation Method1951in the sky ✦
- Optimization by Simulated Annealing1983in the sky ✦
- Emergence of Simple-Cell Receptive Field Properties by Learning a Sparse Code for Natural Images1996in the sky ✦
- Image Style Transfer Using Convolutional Neural Networks2016in the sky ✦
- Image Style Transfer Using Convolutional Neural Networks2016in the sky ✦
- Support-Vector Networks1995in the sky ✦