Mini-Batch
الدفعة المصغرة
مجموعة فرعية صغيرة ومحدودة الحجم من البيانات تستخدم لحساب التدرج وتحديث الأوزان دورياً.
Mini-Batch
Also translated asالمجموعة الفرعية، حزمة البيانات الجزئية
First appears in this corpus in: A Stochastic Approximation Method (1951)
Appears in these papers
- ImageNet Classification with Deep Convolutional Neural Networks2012in the sky ✦
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift2015in the sky ✦
- Cyclical Learning Rates for Training Neural Networks2017in the sky ✦
- Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks2015in the sky ✦
- Continuous Control with Deep Reinforcement Learning2015in the sky ✦
- Deep Learning2015in the sky ✦
- Deep Reinforcement Learning with Double Q-Learning2016in the sky ✦
- Human-Level Control Through Deep Reinforcement Learning2015in the sky ✦
- Dropout: A Simple Way to Prevent Neural Networks from Overfitting2014in the sky ✦
- FaceNet: A Unified Embedding for Face Recognition and Clustering2015in the sky ✦
- Fast R-CNN2015in the sky ✦
- Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks2015in the sky ✦
- Explaining and Harnessing Adversarial Examples2015in the sky ✦
- Google's Neural Machine Translation System: Bridging the Gap Between Human and Machine Translation2016in the sky ✦
- On the Difficulty of Training Recurrent Neural Networks2013in the sky ✦
- Grokking: Generalization Beyond Overfitting on Small Algorithmic Datasets2022in the sky ✦
- Hindsight Experience Replay2017in the sky ✦
- Optimizing Neural Networks with Kronecker-Factored Approximate Curvature2015in the sky ✦
- Accurate, Large Minibatch SGD: Training ImageNet in 1 Hour2017in the sky ✦
- Accurate, Large Minibatch SGD: Training ImageNet in 1 Hour2017in the sky ✦
- mixup: Beyond Empirical Risk Minimization2018in 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 ✦
- PinSage: Graph Convolutional Neural Networks for Web-Scale Recommender Systems2018in the sky ✦
- Proximal Policy Optimization Algorithms2017in the sky ✦
- RMSProp: Divide the Gradient by a Running Average of Its Recent Magnitude2012in the sky ✦
- RT-2: Vision-Language-Action Models Transfer Web Knowledge to Robotic Control2023in the sky ✦
- Sequence to Sequence Learning with Neural Networks2014in the sky ✦
- A Stochastic Approximation Method1951in the sky ✦
- Shampoo: Preconditioned Stochastic Tensor Optimization2018in the sky ✦
- Sharpness-Aware Minimization for Efficiently Improving Generalization2021in the sky ✦
- TD3: Addressing Function Approximation Error in Actor-Critic Methods2018in the sky ✦
- Auto-Encoding Variational Bayes2013in the sky ✦