GitHub - mononoor/mono-Deep-Learning: Collection of Papers and Books concerning Deep Neural Networks

Name		Name	Last commit message	Last commit date
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info		info
miscellaneous		miscellaneous
presentations		presentations
1612.00593.pdf		1612.00593.pdf
A Committee of Neural Networks for Traffic Sign Classification.pdf		A Committee of Neural Networks for Traffic Sign Classification.pdf
A Fast Learning Algorithm for Deep Belief Nets.pdf		A Fast Learning Algorithm for Deep Belief Nets.pdf
A Fast Learning Algorithm for Image Segmentation with Max-Pooling Convolutional Networks.pdf		A Fast Learning Algorithm for Image Segmentation with Max-Pooling Convolutional Networks.pdf
A Few Useful Things to Know about Machine Learning!!!!!!!!!!.pdf		A Few Useful Things to Know about Machine Learning!!!!!!!!!!.pdf
A Guide to Convolution Arithmetic for Deep Learning!!!!!!!!!!!.pdf		A Guide to Convolution Arithmetic for Deep Learning!!!!!!!!!!!.pdf
A Method of Weather Recognition based on Outdoor Images.pdf		A Method of Weather Recognition based on Outdoor Images.pdf
A Practical Guide to Training Restricted Boltzmann Machines.pdf		A Practical Guide to Training Restricted Boltzmann Machines.pdf
Adversarial Attacks on Neural Network Policies.pdf		Adversarial Attacks on Neural Network Policies.pdf
Are we ready for autonomous driving? The KITTI vision benchmark suite.pdf		Are we ready for autonomous driving? The KITTI vision benchmark suite.pdf
Attend, Infer, Repeat: Fast Scene Understanding with Generative Models.pdf		Attend, Infer, Repeat: Fast Scene Understanding with Generative Models.pdf
Automatic differentiation in Machine Learning: A survey.pdf		Automatic differentiation in Machine Learning: A survey.pdf
Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift.pdf		Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift.pdf
Beyond Short Snippets: Deep Networks for Video Classification.pdf		Beyond Short Snippets: Deep Networks for Video Classification.pdf
Book: Deep Learning - Methods and Applications		Book: Deep Learning - Methods and Applications
Book: Deep Learning Tutorial.pdf		Book: Deep Learning Tutorial.pdf
Book: Multiple View Geometry in Computer Vision (Second Edition).pdf		Book: Multiple View Geometry in Computer Vision (Second Edition).pdf
Caffe: Convolutional Architecture for Fast Feature Embedding!!!!!!!!!!.pdf		Caffe: Convolutional Architecture for Fast Feature Embedding!!!!!!!!!!.pdf
Compete to Compute.pdf		Compete to Compute.pdf
Convolutional Neural Networks for Night-Time Animal Orientation Estimation.pdf		Convolutional Neural Networks for Night-Time Animal Orientation Estimation.pdf
Coupled Dictionary Learning for Image Super-Resolution.pdf		Coupled Dictionary Learning for Image Super-Resolution.pdf
Data-dependent Initializations of Convolutional Neural Networks.pdf		Data-dependent Initializations of Convolutional Neural Networks.pdf
DeCAF: A Deep Convolutional Activation Feature for Generic Visual Recognition.pdf		DeCAF: A Deep Convolutional Activation Feature for Generic Visual Recognition.pdf
Deep Convolutional Networks for Scene Parsing.pdf		Deep Convolutional Networks for Scene Parsing.pdf
Deep Generative Image Models using a Laplacian Pyramid of Adversarial Networks.pdf		Deep Generative Image Models using a Laplacian Pyramid of Adversarial Networks.pdf
Deep Inside Convolutional Networks: Visualising Image Classification Models and Saliency Maps.pdf		Deep Inside Convolutional Networks: Visualising Image Classification Models and Saliency Maps.pdf
Deep Learning (LeCun).pdf		Deep Learning (LeCun).pdf
Deep Learning Overview.pdf		Deep Learning Overview.pdf
Deep Learning in Neural Networks: An Overview.pdf		Deep Learning in Neural Networks: An Overview.pdf
Deep Neural Networks are Easily Fooled: High Confidence Predictions for Unrecognizable Images.pdf		Deep Neural Networks are Easily Fooled: High Confidence Predictions for Unrecognizable Images.pdf
Deep Residual Learning for Image Recognition.pdf		Deep Residual Learning for Image Recognition.pdf
Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification.pdf		Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification.pdf
Dense Optical Flow Prediction from a Static Image.pdf		Dense Optical Flow Prediction from a Static Image.pdf
Depth Map Prediction from a Single Image Using a Multi-Scale Deep Network.pdf		Depth Map Prediction from a Single Image Using a Multi-Scale Deep Network.pdf
Designing Deep Learning Neural Networks using Caffe.pdf		Designing Deep Learning Neural Networks using Caffe.pdf
Diplomarbeit: Untersuchungen zu dynamischen neuronalen Netzen.pdf		Diplomarbeit: Untersuchungen zu dynamischen neuronalen Netzen.pdf
Do Convnets Learn Correspondence?.pdf		Do Convnets Learn Correspondence?.pdf
Do Deep Nets Really Need to be Deep?.pdf		Do Deep Nets Really Need to be Deep?.pdf
Dropout Training as Adaptive Regularization.pdf		Dropout Training as Adaptive Regularization.pdf
Dropout: A Simple Way to Prevent Neural Networks from Overfitting.pdf		Dropout: A Simple Way to Prevent Neural Networks from Overfitting.pdf
Effective Sensor Fusion with Event-Based Sensors and Deep Network Architectures.pdf		Effective Sensor Fusion with Event-Based Sensors and Deep Network Architectures.pdf
Efficient BackProp.pdf		Efficient BackProp.pdf
Efficient Backprob (1988).pdf		Efficient Backprob (1988).pdf
Efficient Dictionary Learning with Sparseness-Enforcing Projections.pdf		Efficient Dictionary Learning with Sparseness-Enforcing Projections.pdf
Empirical Evaluation of Rectified Activations in Convolutional Network.pdf		Empirical Evaluation of Rectified Activations in Convolutional Network.pdf
End to End Learning for Self-Driving Cars!!!!!!!!!!.pdf		End to End Learning for Self-Driving Cars!!!!!!!!!!.pdf
End-To-End Memory Networks.pdf		End-To-End Memory Networks.pdf
Exact solutions to the nonlinear dynamics of learning in deep linear neural networks.pdf		Exact solutions to the nonlinear dynamics of learning in deep linear neural networks.pdf
Explaining and Harnessing Adversarial Examples.pdf		Explaining and Harnessing Adversarial Examples.pdf
Fast Feature Pyramids for Object Detection.pdf		Fast Feature Pyramids for Object Detection.pdf
Fast Image Scanning with Deep Max-Pooling Convolutional Neural Networks.pdf		Fast Image Scanning with Deep Max-Pooling Convolutional Neural Networks.pdf
Fast R-CNN.pdf		Fast R-CNN.pdf
Fast large-scale optimization by unifying stochastic gradient and quasi-Newton methods.pdf		Fast large-scale optimization by unifying stochastic gradient and quasi-Newton methods.pdf
Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks.pdf		Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks.pdf
FitNets: Hints for Thin Deep Nets.pdf		FitNets: Hints for Thin Deep Nets.pdf
Fully Convolutional Networks for Semantic Segmentation.pdf		Fully Convolutional Networks for Semantic Segmentation.pdf
Generative Adversarial Networks.pdf		Generative Adversarial Networks.pdf
Going Deeper with Convolutions!!!!!!!!!!!.pdf		Going Deeper with Convolutions!!!!!!!!!!!.pdf
Gradient Flow in Recurrent Nets: the Difficulty of Learning Long-Term Dependencies .pdf		Gradient Flow in Recurrent Nets: the Difficulty of Learning Long-Term Dependencies .pdf
Gradient-Based Learning Applied to Document Recognition.pdf		Gradient-Based Learning Applied to Document Recognition.pdf
Handwritten Digit Recognition with a Back-Propagation Network.pdf		Handwritten Digit Recognition with a Back-Propagation Network.pdf
High Performance Convolutional Neural Networks for Document Processing		High Performance Convolutional Neural Networks for Document Processing
High Performance Convolutional Neural Networks for Document Processing.pdf		High Performance Convolutional Neural Networks for Document Processing.pdf
High-Performance Neural Networks for Visual Object Classification.pdf		High-Performance Neural Networks for Visual Object Classification.pdf
Highway Networks.pdf		Highway Networks.pdf
How transferable are features in deep neural networks?.pdf		How transferable are features in deep neural networks?.pdf
Hypercolumns for Object Segmentation and Fine-grained Localization.pdf		Hypercolumns for Object Segmentation and Fine-grained Localization.pdf
Identity Mappings in Deep Residual Networks.pdf		Identity Mappings in Deep Residual Networks.pdf
Image Deblurring and Super-Resolution by Adaptive Sparse Domain Selection and Adaptive Regularization.pdf		Image Deblurring and Super-Resolution by Adaptive Sparse Domain Selection and Adaptive Regularization.pdf
Image Super-Resolution Using Deep Convolutional Networks.pdf		Image Super-Resolution Using Deep Convolutional Networks.pdf
Image Super-Resolution via Sparse Representation.pdf		Image Super-Resolution via Sparse Representation.pdf
Image denoising by sparse 3D transform-domain collaborative filtering!!!!!!!!!.pdf		Image denoising by sparse 3D transform-domain collaborative filtering!!!!!!!!!.pdf
Image denoising: Can plain Neural Networks compete with BM3D?.pdf		Image denoising: Can plain Neural Networks compete with BM3D?.pdf
ImageNet Classification with Deep Convolutional Neural Networks!!!!!!!!!!.pdf		ImageNet Classification with Deep Convolutional Neural Networks!!!!!!!!!!.pdf
ImageNet: A Large-Scale Hierarchical Image Database.pdf		ImageNet: A Large-Scale Hierarchical Image Database.pdf
Improving Neural Networks by Preventing co-adaption of Feature Detectors.pdf		Improving Neural Networks by Preventing co-adaption of Feature Detectors.pdf
Inception-v4, Inception-ResNet and the Impact of Residual Connections on Learning.pdf		Inception-v4, Inception-ResNet and the Impact of Residual Connections on Learning.pdf
Instance-Level Segmentation for Autonomous Driving with Deep Densely Connected MRFs.pdf		Instance-Level Segmentation for Autonomous Driving with Deep Densely Connected MRFs.pdf
Intriguing Properties of Neural Networks.pdf		Intriguing Properties of Neural Networks.pdf
Large Scale Distributed Deep Networks.pdf		Large Scale Distributed Deep Networks.pdf
Large-scale Video Classification with Convolutional Neural Networks.pdf		Large-scale Video Classification with Convolutional Neural Networks.pdf
Learning Convolutional Neural Networks From Few Samples.pdf		Learning Convolutional Neural Networks From Few Samples.pdf
Learning Deconvolution Network for Semantic Segmentation.pdf		Learning Deconvolution Network for Semantic Segmentation.pdf
Learning Deep Architectures for AI.pdf		Learning Deep Architectures for AI.pdf
Learning Hierarchical Features for Scene Labeling.pdf		Learning Hierarchical Features for Scene Labeling.pdf
Learning Invariant Feature Hierarchies.pdf		Learning Invariant Feature Hierarchies.pdf
Learning Spatiotemporal Features with 3D Convolutional Networks.pdf		Learning Spatiotemporal Features with 3D Convolutional Networks.pdf
Learning to Compare Image Patches via Convolutional Neural Networks.pdf		Learning to Compare Image Patches via Convolutional Neural Networks.pdf
Long-term Recurrent Convolutional Networks for Visual Recognition and Description.pdf		Long-term Recurrent Convolutional Networks for Visual Recognition and Description.pdf
Lost and Found: Detecting Small Road Hazards for Self-Driving Vehicles.pdf		Lost and Found: Detecting Small Road Hazards for Self-Driving Vehicles.pdf
Low Rank Decomposition!!!!!!!!!!.pdf		Low Rank Decomposition!!!!!!!!!!.pdf
Memory Networks.pdf		Memory Networks.pdf
Monocular Object Detection Using 3D Geometric Primitives.pdf		Monocular Object Detection Using 3D Geometric Primitives.pdf
Multi-Scale Context Aggregation by Dilated Convolutions.pdf		Multi-Scale Context Aggregation by Dilated Convolutions.pdf
Multi-digit Number Recognition from Street View Imagery using Deep Convolutional Neural Networks.pdf		Multi-digit Number Recognition from Street View Imagery using Deep Convolutional Neural Networks.pdf
Multimodal Similarity-Preserving Hashing.pdf		Multimodal Similarity-Preserving Hashing.pdf
Network In Network.pdf		Network In Network.pdf

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