Optimizer
الـمُحسِّن
الخوارزمية المخصصة لتحديث الأوزان والانحيازات وتعديل قيمها بناءً على التدرجات المحسوبة.
Optimizer
Also translated asخوارزمية التحسين، آلية مواءمة الأوزان
First appears in this corpus in: Méthode Générale pour la Résolution des Systèmes d'Équations Simultanées (1847)
Appears in these papers
- Adaptive Subgradient Methods for Online Learning and Stochastic Optimization2011in the sky ✦
- Adaptive Subgradient Methods for Online Learning and Stochastic Optimization2011in the sky ✦
- Adam: A Method for Stochastic Optimization2014in the sky ✦
- Decoupled Weight Decay Regularization2019in the sky ✦
- Neural Networks and the Bias/Variance Dilemma1992in the sky ✦
- Cyclical Learning Rates for Training Neural Networks2017in the sky ✦
- Cyclical Learning Rates for Training Neural Networks2017in the sky ✦
- Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks2015in the sky ✦
- Deep Learning2015in the sky ✦
- Domain Randomization for Transferring Deep Neural Networks from Simulation to the Real World2017in the sky ✦
- Finetuned Language Models Are Zero-Shot Learners2022in the sky ✦
- High-Dimensional Continuous Control Using Generalized Advantage Estimation2016in the sky ✦
- Gaussian Error Linear Units (GELUs)2016in the sky ✦
- Méthode Générale pour la Résolution des Systèmes d'Équations Simultanées1847in the sky ✦
- Grokking: Generalization Beyond Overfitting on Small Algorithmic Datasets2022in the sky ✦
- Grokking: Generalization Beyond Overfitting on Small Algorithmic Datasets2022in the sky ✦
- Optimizing Neural Networks with Kronecker-Factored Approximate Curvature2015in the sky ✦
- Symbolic Discovery of Optimization Algorithms2023in the sky ✦
- Symbolic Discovery of Optimization Algorithms2023in the sky ✦
- LLaMA: Open and Efficient Foundation Language Models2023in the sky ✦
- LoRA: Low-Rank Adaptation of Large Language Models2021in the sky ✦
- Some Methods of Speeding Up the Convergence of Iteration Methods1964in the sky ✦
- A Method for Solving the Convex Programming Problem with Convergence Rate O(1/k²)1983in the sky ✦
- A Method for Solving the Convex Programming Problem with Convergence Rate O(1/k²)1983in the sky ✦
- QLoRA: Efficient Finetuning of Quantized LLMs2023in the sky ✦
- Ridge Regression: Biased Estimation for Nonorthogonal Problems1970in the sky ✦
- RMSProp: Divide the Gradient by a Running Average of Its Recent Magnitude2012in the sky ✦
- RMSProp: Divide the Gradient by a Running Average of Its Recent Magnitude2012in the sky ✦
- A Stochastic Approximation Method1951in the sky ✦
- SGDR: Stochastic Gradient Descent with Warm Restarts2017in the sky ✦
- Shampoo: Preconditioned Stochastic Tensor Optimization2018in the sky ✦
- Sharpness-Aware Minimization for Efficiently Improving Generalization2021in the sky ✦
- Sharpness-Aware Minimization for Efficiently Improving Generalization2021in the sky ✦