Deep Learning

التعلم العميق

فئة متطورة تعتمد على شبكات عصبية عميقة متعددة الطبقات لاستخلاص الأنماط المعقدة.

Deep Learning

Also translated asالتعلم المتعدد الطبقات، الشبكات العميقة

First appears in this corpus in: Méthode Générale pour la Résolution des Systèmes d'Équations Simultanées (1847)

Appears in these papers

A Decision-Theoretic Generalization of On-Line Learning and an Application to Boosting1997 in the sky ✦
Adaptive Subgradient Methods for Online Learning and Stochastic Optimization2011 in the sky ✦
Adam: A Method for Stochastic Optimization2014 in the sky ✦
Decoupled Weight Decay Regularization2019 in the sky ✦
ImageNet Classification with Deep Convolutional Neural Networks2012 in the sky ✦
Learning Representations by Back-Propagating Errors1986 in the sky ✦
Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift2015 in the sky ✦
A Learning Algorithm for Boltzmann Machines1985 in the sky ✦
BPR: Bayesian Personalized Ranking from Implicit Feedback2009 in the sky ✦
Chronos: Learning the Language of Time Series2024 in the sky ✦
Microsoft COCO: Common Objects in Context2014 in the sky ✦
Gradient-Based Learning Applied to Document Recognition1998 in the sky ✦
A Proposal for the Dartmouth Summer Research Project on Artificial Intelligence1956 in the sky ✦
Reducing the Dimensionality of Data with Neural Networks2006 in the sky ✦
A Fast Learning Algorithm for Deep Belief Nets2006 in the sky ✦
Deep Compression: Compressing Deep Neural Networks with Pruning, Trained Quantization and Huffman Coding2016 in the sky ✦
Deep Learning2015 in the sky ✦
Deep Learning2015 in the sky ✦
Deep Speech 2: End-to-End Speech Recognition in English and Mandarin2015 in the sky ✦
Deformable Convolutional Networks2017 in the sky ✦
Densely Connected Convolutional Networks2017 in the sky ✦
K-SVD: An Algorithm for Designing Overcomplete Dictionaries for Sparse Representation2006 in the sky ✦
Learning Distributed Representations of Concepts1986 in the sky ✦
Human-Level Control Through Deep Reinforcement Learning2015 in the sky ✦
Maximum Likelihood from Incomplete Data via the EM Algorithm1977 in the sky ✦
Billion-Scale Similarity Search with GPUs2017 in the sky ✦
Semi-Supervised Classification with Graph Convolutional Networks2017 in the sky ✦
Gaussian Error Linear Units (GELUs)2016 in the sky ✦
Going Deeper with Convolutions2014 in the sky ✦
On the Difficulty of Training Recurrent Neural Networks2013 in the sky ✦
Méthode Générale pour la Résolution des Systèmes d'Équations Simultanées1847 in the sky ✦
Grokking: Generalization Beyond Overfitting on Small Algorithmic Datasets2022 in the sky ✦
Group Normalization2018 in the sky ✦
Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification2015 in the sky ✦
Highway Networks2015 in the sky ✦
Histograms of Oriented Gradients for Human Detection2005 in the sky ✦
Induction of Decision Trees1986 in the sky ✦
ImageNet: A Large-Scale Hierarchical Image Database2009 in the sky ✦
Optimizing Neural Networks with Kronecker-Factored Approximate Curvature2015 in the sky ✦
On Information and Sufficiency1951 in the sky ✦
The Regression Analysis of Binary Sequences1958 in the sky ✦
Extension of the Law of Large Numbers to Dependent Quantities1906 in the sky ✦
Matrix Factorization Techniques for Recommender Systems2009 in the sky ✦
A Logical Calculus of the Ideas Immanent in Nervous Activity1943 in the sky ✦
Some Methods of Speeding Up the Convergence of Iteration Methods1964 in the sky ✦
MuZero: Mastering Atari, Go, Chess and Shogi by Planning with a Learned Model2020 in the sky ✦
MuZero: Mastering Atari, Go, Chess and Shogi by Planning with a Learned Model2020 in the sky ✦
N-BEATS: Neural Basis Expansion Analysis for Interpretable Time Series Forecasting2019 in the sky ✦
N-BEATS: Neural Basis Expansion Analysis for Interpretable Time Series Forecasting2019 in the sky ✦
Natural Gradient Works Efficiently in Learning1998 in the sky ✦
A Method for Solving the Convex Programming Problem with Convergence Rate O(1/k²)1983 in the sky ✦
A Neural Probabilistic Language Model2003 in the sky ✦
Neural Ordinary Differential Equations2018 in the sky ✦
Neural Tangent Kernel: Convergence and Generalization in Neural Networks2018 in the sky ✦
Perceptrons: An Introduction to Computational Geometry1969 in the sky ✦
Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation2014 in the sky ✦
Representation Learning: A Review and New Perspectives2013 in the sky ✦
Representation Learning: A Review and New Perspectives2013 in the sky ✦
Deep Residual Learning for Image Recognition2015 in the sky ✦
Ridge Regression: Biased Estimation for Nonorthogonal Problems1970 in the sky ✦
RMSProp: Divide the Gradient by a Running Average of Its Recent Magnitude2012 in the sky ✦
Sequence to Sequence Learning with Neural Networks2014 in the sky ✦
SGDR: Stochastic Gradient Descent with Warm Restarts2017 in the sky ✦
Shampoo: Preconditioned Stochastic Tensor Optimization2018 in the sky ✦
A Unified Approach to Interpreting Model Predictions2017 in the sky ✦
A Unified Approach to Interpreting Model Predictions2017 in the sky ✦
Signature Verification Using a "Siamese" Time Delay Neural Network1993 in the sky ✦
Distinctive Image Features from Scale-Invariant Keypoints2004 in the sky ✦
Emergence of Simple-Cell Receptive Field Properties by Learning a Sparse Code for Natural Images1996 in the sky ✦
Spectral Networks and Deep Locally Connected Networks on Graphs2014 in the sky ✦
SQuAD: 100,000+ Questions for Machine Comprehension of Text2016 in the sky ✦
Support-Vector Networks1995 in the sky ✦
Learning to Predict by the Methods of Temporal Differences1988 in the sky ✦
A Decoder-Only Foundation Model for Time Series Forecasting2024 in the sky ✦
Approximation by Superpositions of a Sigmoidal Function1989 in the sky ✦
Auto-Encoding Variational Bayes2013 in the sky ✦
End-to-End Training of Deep Visuomotor Policies2016 in the sky ✦
Deep Neural Networks for YouTube Recommendations2016 in the sky ✦
ZeRO: Memory Optimizations Toward Training Trillion Parameter Models2019 in the sky ✦