Caffe

swMATH17850MaRDI QIDQ29702

No author found.

Source code repository: https://github.com/BVLC/caffe

Related Items (55)

Learning models with uniform performance via distributionally robust optimization ⋮ On obtaining sparse semantic solutions for inverse problems, control, and neural network training ⋮ Breast microcalcification diagnosis using deep convolutional neural network from digital mammograms ⋮ Dyad ranking using Plackett-Luce models based on joint feature representations ⋮ Unnamed Item ⋮ Weakly supervised target detection in remote sensing images based on transferred deep features and negative bootstrapping ⋮ Open-Source Libraries, Application Frameworks, and Workflow Systems for NLP ⋮ Infrared and visible image fusion with convolutional neural networks ⋮ Neural Networks and Deep Learning ⋮ Accelerating BLAS and LAPACK via Efficient Floating Point Architecture Design ⋮ Deep neural networks for texture classification -- a theoretical analysis ⋮ PAC-Bayesian framework based drop-path method for 2D discriminative convolutional network pruning ⋮ Novel convolutional neural network architecture for improved pulmonary nodule classification on computed tomography ⋮ Matrix-Free Convex Optimization Modeling ⋮ Mining mid-level visual patterns with deep CNN activations ⋮ Deep supervised hashing for fast image retrieval ⋮ Stochastic quantization for learning accurate low-bit deep neural networks ⋮ Deep learning for generic object detection: a survey ⋮ Discriminatively learned hierarchical rank pooling networks ⋮ Robust detection and affine rectification of planar homogeneous texture for scene understanding ⋮ PCANet: A Simple Deep Learning Baseline for Image Classification? ⋮ PANTHER: A Programmable Architecture for Neural Network Training Harnessing Energy-Efficient ReRAM ⋮ Sequential three-way decisions in multi-category image recognition with deep features based on distance factor ⋮ Reliable Crowdsourcing and Deep Locality-Preserving Learning for Unconstrained Facial Expression Recognition ⋮ Deep Convolutional Neural Networks for Image Classification: A Comprehensive Review ⋮ Unnamed Item ⋮ Unnamed Item ⋮ Weakly-supervised semantic segmentation by iterative affinity learning ⋮ Insulator detection and recognition of explosion based on convolutional neural networks ⋮ Feedforward Approximations to Dynamic Recurrent Network Architectures ⋮ Computer vision. Algorithms and applications ⋮ HyperNOMAD ⋮ A joint loss function for deep face recognition ⋮ Unnamed Item ⋮ Linear feature transform and enhancement of classification on deep neural network ⋮ Machine learning for metal additive manufacturing: predicting temperature and melt pool fluid dynamics using physics-informed neural networks ⋮ A unified factors analysis framework for discriminative feature extraction and object recognition ⋮ Accelerating deep neural network training with inconsistent stochastic gradient descent ⋮ The voice of optimization ⋮ Self-learning based medical image representation for rigid real-time and multimodal slice-to-volume registration ⋮ Transferrable feature and projection learning with class hierarchy for zero-shot learning ⋮ Learning multifunctional binary codes for personalized image retrieval ⋮ Deep learning on image denoising: an overview ⋮ Revisiting Deep Structured Models for Pixel-Level Labeling with Gradient-Based Inference ⋮ A comprehensive and systematic look up into deep learning based object detection techniques: a review ⋮ Some geometrical and topological properties of DNNs' decision boundaries ⋮ Balanced joint maximum mean discrepancy for deep transfer learning ⋮ DeepRT: predictable deep learning inference for cyber-physical systems ⋮ Automated system for face-mask detection using convolutional neural network ⋮ Deep Learning: An Introduction for Applied Mathematicians ⋮ Compositional falsification of cyber-physical systems with machine learning components ⋮ Information-Theoretic Representation Learning for Positive-Unlabeled Classification ⋮ A hybrid deep learning model for breast cancer diagnosis based on transfer learning and pulse-coupled neural networks ⋮ High-performance statistical computing in the computing environments of the 2020s ⋮ Chaotic signal denoising based on simplified convolutional denoising auto-encoder

This page was built for software: Caffe