Neural Network
الشبكة العصبية
هيكل حوسبي مستوحى من الدماغ البشري يتكون من عصبونات متصلة لمعالجة البيانات.
Neural Network
Also translated asالشبكة العصبونية، النظام العصبوني الاصطناعي
First appears in this corpus in: Nouvelles méthodes pour la détermination des orbites des comètes (Method of Least Squares) (1805)
Appears in these papers
- Asynchronous Methods for Deep Reinforcement Learning2016in the sky ✦
- Adaptive Subgradient Methods for Online Learning and Stochastic Optimization2011in the sky ✦
- Adam: A Method for Stochastic Optimization2014in the sky ✦
- Intriguing Properties of Neural Networks2014in the sky ✦
- AI Safety via Debate2018in the sky ✦
- Mastering the Game of Go Without Human Knowledge2017in the sky ✦
- Mastering the Game of Go with Deep Neural Networks and Tree Search2016in the sky ✦
- A General Reinforcement Learning Algorithm That Masters Chess, Shogi, and Go Through Self-Play2018in the sky ✦
- Learning Representations by Back-Propagating Errors1986in the sky ✦
- Bagging Predictors1996in the sky ✦
- Neural Networks and the Bias/Variance Dilemma1992in the sky ✦
- A Learning Algorithm for Boltzmann Machines1985in the sky ✦
- A Computational Approach to Edge Detection1986in the sky ✦
- Concrete Problems in AI Safety2016in the sky ✦
- Unsupervised Visual Representation Learning by Context Prediction2015in the sky ✦
- Conditional Random Fields: Probabilistic Models for Segmenting and Labeling Sequence Data2001in the sky ✦
- A Proposal for the Dartmouth Summer Research Project on Artificial Intelligence1956in the sky ✦
- A Proposal for the Dartmouth Summer Research Project on Artificial Intelligence1956in the sky ✦
- Continuous Control with Deep Reinforcement Learning2015in the sky ✦
- Reducing the Dimensionality of Data with Neural Networks2006in the sky ✦
- Deep Compression: Compressing Deep Neural Networks with Pruning, Trained Quantization and Huffman Coding2016in the sky ✦
- Deep Learning2015in the sky ✦
- Deep Reinforcement Learning from Human Preferences2017in the sky ✦
- Deep Speech 2: End-to-End Speech Recognition in English and Mandarin2015in the sky ✦
- Learning Distributed Representations of Concepts1986in the sky ✦
- Domain Randomization for Transferring Deep Neural Networks from Simulation to the Real World2017in the sky ✦
- Reconciling Modern Machine-Learning Practice and the Classical Bias–Variance Trade-Off2019in the sky ✦
- Reconciling Modern Machine-Learning Practice and the Classical Bias–Variance Trade-Off2019in the sky ✦
- Human-Level Control Through Deep Reinforcement Learning2015in the sky ✦
- Dropout: A Simple Way to Prevent Neural Networks from Overfitting2014in the sky ✦
- Dynamic Programming1957in the sky ✦
- Fast R-CNN2015in the sky ✦
- Enriching Word Vectors with Subword Information2017in the sky ✦
- Explaining and Harnessing Adversarial Examples2015in the sky ✦
- High-Dimensional Continuous Control Using Generalized Advantage Estimation2016in the sky ✦
- Gaussian Processes for Machine Learning2006in the sky ✦
- GloVe: Global Vectors for Word Representation2014in the sky ✦
- Glow: Generative Flow with Invertible 1×1 Convolutions2018in the sky ✦
- Google's Neural Machine Translation System: Bridging the Gap Between Human and Machine Translation2016in the sky ✦
- The Graph Neural Network Model2009in the sky ✦
- First Return, Then Explore2021in the sky ✦
- GPTQ: Accurate Post-Training Quantization for Generative Pre-Trained Transformers2022in the sky ✦
- Grad-CAM: Visual Explanations from Deep Networks via Gradient-Based Localization2017in the sky ✦
- Méthode Générale pour la Résolution des Systèmes d'Équations Simultanées1847in the sky ✦
- Grokking: Generalization Beyond Overfitting on Small Algorithmic Datasets2022in the sky ✦
- Empirical Evaluation of Gated Recurrent Neural Networks on Sequence Modeling2014in the sky ✦
- The Organization of Behavior: A Neuropsychological Theory1949in the sky ✦
- Highway Networks2015in 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 ✦
- Hyperband: A Novel Bandit-Based Approach to Hyperparameter Optimization2018in the sky ✦
- Quo Vadis, Action Recognition? A New Model and the Kinetics Dataset2017in the sky ✦
- An Information-Maximization Approach to Blind Separation and Blind Deconvolution1995in the sky ✦
- Induction of Decision Trees1986in the sky ✦
- Least Squares Quantization in PCM1982in the sky ✦
- On Information and Sufficiency1951in the sky ✦
- Distilling the Knowledge in a Neural Network2015in the sky ✦
- Foundations of the Theory of Probability1933in the sky ✦
- High-Resolution Image Synthesis with Latent Diffusion Models2022in the sky ✦
- Nouvelles méthodes pour la détermination des orbites des comètes (Method of Least Squares)1805in the sky ✦
- Symbolic Discovery of Optimization Algorithms2023in the sky ✦
- The Regression Analysis of Binary Sequences1958in the sky ✦
- Visualizing the Loss Landscape of Neural Nets2018in the sky ✦
- The Lottery Ticket Hypothesis: Finding Sparse, Trainable Neural Networks2019in the sky ✦
- The Lottery Ticket Hypothesis: Finding Sparse, Trainable Neural Networks2019in the sky ✦
- A Logical Calculus of the Ideas Immanent in Nervous Activity1943in the sky ✦
- A Logical Calculus of the Ideas Immanent in Nervous Activity1943in the sky ✦
- On the Mathematical Foundations of Theoretical Statistics1922in the sky ✦
- The Monte Carlo Method1949in the sky ✦
- Tensor Programs V: Tuning Large Neural Networks via Zero-Shot Hyperparameter Transfer2022in the sky ✦
- MuZero: Mastering Atari, Go, Chess and Shogi by Planning with a Learned Model2020in the sky ✦
- N-BEATS: Neural Basis Expansion Analysis for Interpretable Time Series Forecasting2019in the sky ✦
- N-BEATS: Neural Basis Expansion Analysis for Interpretable Time Series Forecasting2019in the sky ✦
- Natural Gradient Works Efficiently in Learning1998in the sky ✦
- Neural Collaborative Filtering2017in the sky ✦
- NeRF: Representing Scenes as Neural Radiance Fields for View Synthesis2020in the sky ✦
- A Method for Solving the Convex Programming Problem with Convergence Rate O(1/k²)1983in the sky ✦
- A Neural Probabilistic Language Model2003in the sky ✦
- Neural Ordinary Differential Equations2018in the sky ✦
- Optimal Brain Damage1989in the sky ✦
- The Perceptron: A Probabilistic Model for Information Storage and Organization in the Brain1958in the sky ✦
- Perceptrons: An Introduction to Computational Geometry1969in the sky ✦
- Pixel Recurrent Neural Networks2016in the sky ✦
- Policy Gradient Methods for Reinforcement Learning with Function Approximation1999in the sky ✦
- Proximal Policy Optimization Algorithms2017in the sky ✦
- Prioritized Experience Replay2015in the sky ✦
- Q-Learning1992in the sky ✦
- QLoRA: Efficient Finetuning of Quantized LLMs2023in the sky ✦
- Random Features for Large-Scale Kernel Machines2007in the sky ✦
- Red Teaming Language Models to Reduce Harms: Methods, Scaling Behaviors, and Lessons Learned2022in 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 ✦
- Some Studies in Machine Learning Using the Game of Checkers1959in the sky ✦
- Generative Modeling by Estimating Gradients of the Data Distribution2019in the sky ✦
- A Stochastic Approximation Method1951in the sky ✦
- Shampoo: Preconditioned Stochastic Tensor Optimization2018in the sky ✦
- A Unified Approach to Interpreting Model Predictions2017in the sky ✦
- Sharpness-Aware Minimization for Efficiently Improving Generalization2021in the sky ✦
- Signature Verification Using a "Siamese" Time Delay Neural Network1993in the sky ✦
- Emergence of Simple-Cell Receptive Field Properties by Learning a Sparse Code for Natural Images1996in the sky ✦
- SQuAD: 100,000+ Questions for Machine Comprehension of Text2016in the sky ✦
- Support-Vector Networks1995in the sky ✦
- Temporal Difference Learning and TD-Gammon1995in the sky ✦
- Universal Language Model Fine-Tuning for Text Classification2018in the sky ✦
- Approximation by Superpositions of a Sigmoidal Function1989in the sky ✦
- Approximation by Superpositions of a Sigmoidal Function1989in the sky ✦
- Rapid Object Detection Using a Boosted Cascade of Simple Features2001in the sky ✦
- End-to-End Training of Deep Visuomotor Policies2016in the sky ✦
- WaveNet: A Generative Model for Raw Audio2016in the sky ✦
- Distributed Representations of Words and Phrases and Their Compositionality2013in the sky ✦
- XGBoost: A Scalable Tree Boosting System2016in the sky ✦