Local Minimum
النهاية الصغرى المحلية
نقطة قاع موضعية مؤقتة يتوقف عندها التدرج، لكنها ليست الأدنى على مستوى دالة الخطأ ككل.
Local Minimum
Also translated asالقاع المحلي للخطأ، النقطة الدنيا المؤقتة
First appears in this corpus in: Méthode Générale pour la Résolution des Systèmes d'Équations Simultanées (1847)
Appears in these papers
- Decoupled Weight Decay Regularization2019in the sky ✦
- Backpropagation Through Time: What It Does and How to Do It1990in the sky ✦
- Learning Representations by Back-Propagating Errors1986in the sky ✦
- Learning Representations by Back-Propagating Errors1986in the sky ✦
- A Learning Algorithm for Boltzmann Machines1985in the sky ✦
- Cyclical Learning Rates for Training Neural Networks2017in the sky ✦
- Reducing the Dimensionality of Data with Neural Networks2006in the sky ✦
- Deep Learning2015in the sky ✦
- Domain Randomization for Transferring Deep Neural Networks from Simulation to the Real World2017in the sky ✦
- Méthode Générale pour la Résolution des Systèmes d'Équations Simultanées1847in the sky ✦
- Méthode Générale pour la Résolution des Systèmes d'Équations Simultanées1847in the sky ✦
- A Tutorial on Hidden Markov Models and Selected Applications in Speech Recognition1989in the sky ✦
- Neural Networks and Physical Systems with Emergent Collective Computational Abilities1982in the sky ✦
- Neural Networks and Physical Systems with Emergent Collective Computational Abilities1982in the sky ✦
- Least Squares Quantization in PCM1982in the sky ✦
- Visualizing the Loss Landscape of Neural Nets2018in the sky ✦
- Equation of State Calculations by Fast Computing Machines1953in the sky ✦
- Some Methods of Speeding Up the Convergence of Iteration Methods1964in the sky ✦
- Some Methods of Speeding Up the Convergence of Iteration Methods1964in the sky ✦
- Neural Collaborative Filtering2017in 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 ✦
- No Free Lunch Theorems for Optimization1997in the sky ✦
- Neural Tangent Kernel: Convergence and Generalization in Neural Networks2018in the sky ✦
- Optimal Brain Damage1989in the sky ✦
- SGDR: Stochastic Gradient Descent with Warm Restarts2017in the sky ✦
- Optimization by Simulated Annealing1983in the sky ✦
- Optimization by Simulated Annealing1983in the sky ✦
- Approximation by Superpositions of a Sigmoidal Function1989in the sky ✦