Pages that link to "Item:Q3191111"
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The following pages link to Deep Learning: Methods and Applications (Q3191111):
Displaying 43 items.
- Achieving a compromise between performance and complexity of structure: an incremental approach (Q526669) (← links)
- DeepRT: predictable deep learning inference for cyber-physical systems (Q779430) (← links)
- Deep learning. Research and applications (Q780618) (← links)
- Ontology learning: grand tour and challenges (Q826313) (← links)
- A survey on deep learning and its applications (Q826338) (← links)
- Nonlinear multi-output regression on unknown input manifold (Q1680851) (← links)
- Linear feature transform and enhancement of classification on deep neural network (Q1785494) (← links)
- Hierarchical deep learning neural network (HiDeNN): an artificial intelligence (AI) framework for computational science and engineering (Q2020738) (← links)
- Hierarchical deep-learning neural networks: finite elements and beyond (Q2033626) (← links)
- A selective overview of deep learning (Q2038303) (← links)
- On the local convergence of a stochastic semismooth Newton method for nonsmooth nonconvex optimization (Q2082285) (← links)
- Deep preference learning for multiple criteria decision analysis (Q2098051) (← links)
- A stochastic extra-step quasi-Newton method for nonsmooth nonconvex optimization (Q2149551) (← links)
- Can deep learning distinguish chaos from noise? Numerical experiments and general considerations (Q2160986) (← links)
- Transformed \(\ell_1\) regularization for learning sparse deep neural networks (Q2185659) (← links)
- Complex activity recognition via attribute dynamics (Q2193541) (← links)
- Computational methods for deep learning. Theoretic, practice and applications (Q2214275) (← links)
- Elimination of negative circuits in certain neural network structures to achieve stable solutions (Q2217187) (← links)
- Control-based algorithms for high dimensional online learning (Q2297419) (← links)
- A DBN-based deep neural network model with multitask learning for online air quality prediction (Q2303386) (← links)
- Sparse kernel deep stacking networks (Q2319474) (← links)
- A survey of deep network techniques all classifiers can adopt (Q2659274) (← links)
- A review of deep learning (Q3193594) (← links)
- Learning Deep Architectures for AI (Q3404182) (← links)
- Review on deep-learning-based cognitive computing (Q4642764) (← links)
- Deep Neural Network Applications (Q5073815) (← links)
- The Science of Deep Learning (Q5086566) (← links)
- Combined wavelet and Gabor convolution neural networks (Q5204651) (← links)
- Guide to Deep Learning Basics (Q5217584) (← links)
- Distributed Subgradient-Free Stochastic Optimization Algorithm for Nonsmooth Convex Functions over Time-Varying Networks (Q5232244) (← links)
- A Stochastic Semismooth Newton Method for Nonsmooth Nonconvex Optimization (Q5244401) (← links)
- Deep Convolutional Neural Networks for Image Classification: A Comprehensive Review (Q5382481) (← links)
- Learning with Limited Samples: Meta-Learning and Applications to Communication Systems (Q5886000) (← links)
- Deep learning: a statistical viewpoint (Q5887827) (← links)
- Deep learning of dispersion engineering in two-dimensional phononic crystals (Q6048498) (← links)
- Deep learning for natural language processing: a survey (Q6132497) (← links)
- Computational Methods for Deep Learning (Q6143350) (← links)
- \(r\)-adaptive deep learning method for solving partial differential equations (Q6144172) (← links)
- A classification method based on a cloud of spheres (Q6491344) (← links)
- AdaLo: adaptive learning rate optimizer with loss for classification (Q6645078) (← links)
- Choice of interior penalty coefficient for interior penalty discontinuous Galerkin method for Biot's system by employing machine learning (Q6648523) (← links)
- Predicting stock market by sentiment analysis and deep learning (Q6660147) (← links)
- Multiple input CNN architecture for tool state recognition in the milling process based on time series signals (Q6660160) (← links)
