深度神经网络资料汇总

 重要的论文：

 

1. Very deep convolutional networks for large-scale image recognition (VGG-net) (2014) [pdf] [video]

 2. Going deeper with convolutions (GoogLeNet) by Google (2015)              [pdf]        [video]

 

1. Deep learning (2015)  [pdf]

 

1. Visualizing and Understanding Convolutional Neural Networks (ZF Net) (2014) [pdf] [video]

 

1. Fully convolutional networks for semantic segmentation (2015)  [pdf]

 

1. Deep residual learning for image recognition (ResNet) by Microsoft (2015) [pdf] [video]

 

1. Deepface: closing the gap to human-level performance in face verification (2014) [pdf] [video]

 

1. Batch normalization: Accelerating deep network training by reducing internal covariate shift (2015) [pdf]

 

1. Deep Learning in Neural Networks: An Overview (2015)  [pdf]

 

10.Delving deep into rectifiers: Surpassing human-level performance on imagenet classification (PReLU) (2014) [pdf]

 

11.Faster R-CNN: Towards real-time object detection with region proposal networks (2015) [pdf]

 

12.Fast R-CNN (2015)    [pdf]

 

13.Spatial pyramid pooling in deep convolutional networks for visual recognition (SPP Net) (2014) [pdf] [video]

 

14.Generative Adversarial Nets (2014)    [pdf]

 

15.Spatial Transformer Networks (2015)    [pdf]  [video]

 

16.Understanding deep image representations by inverting them (2015)    [pdf]

 

17.Deep Learning of Representations: Looking Forward (2013)    [pdf]

 

  

经典的文章

 

ImageNet Classification with Deep Convolutional Neural Networks (AlexNet) (2012) [pdf]

 

Rectified linear units improve restricted boltzmann machines (ReLU) (2010) [pdf]

   

 

重要的理论

 

 

1. Deep Neural Networks are Easily Fooled: High Confidence Predictions for Unrecognizable Images (2015) [pdf]

 

1. Distilling the Knowledge in a Neural Network (2015)  [pdf]

 

1. Deep learning in neural networks: An overview (2015)  [pdf]

 

 

重要的书籍

 

• Deep Learning Textbook - An MIT Press book (2016)  [html]

 

• Learning Deep Architectures for AI  [pdf]

 

• Neural Nets and Deep Learning  [html]  [github]

 

 

重要的课程/Tutorials

 

• Caffe Tutorial (CVPR 2015)

 

• Tutorial on Deep Learning for Vision (CVPR 2014)

 

• Introduction to Deep Learning with Python - Theano Tutorials  [github]

 

• Deep Learning Tutorials with Theano/Python  [github]

 

• Deep Learning: Take machine learning to the next level (by udacity)

 

• DeepLearnToolbox – A Matlab toolbox for Deep Learning  [github]

 

• Stanford Matlab-based Deep Learning  [github]

 

• Stanford 231n Class: Convolutional Neural Networks for Visual Recognition [github]

 

• Deep Learning Course (by Yann LeCun-2016)

 

• Generative Models (by OpenAI)

 

• An introduction to Generative Adversarial Networks (with code in TensorFlow)

 

 

 

重要的资源/Models

 

• VGG-net

 

• GoogLeNet

 

• ResNet - MatConvNet implementation

 

• AlexNet

 

• Fully Convolutional Networks for Semantic Segmentation

 

• OverFeat

  

• SPP_net

 

• Fast R-CNN

 

• Faster R-CNN

 

• Generative Adversarial Networks (GANs)

 

• Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks)

 

• ResNeXt: Aggregated Residual Transformations for Deep Neural Networks)

 

• MultiPath Network training code

 

 

 

重要的框架和开发库

 

• Tensorflow by Google [C++ and CUDA]:  [homepage]  [github]

 

• Caffe         by          Berkeley         Vision          and         Learning         Center          (BVLC)

 

[C++]:  [homepage]  [github]  [Installation Instructions]

 

• Keras by François Chollet [Python]:  [homepage]  [github]

 

• Microsoft Cognitive Toolkit - CNTK [C++]:  [homepage]  [github]

 

• MXNet adapted by Amazon [C++]:  [homepage]  [github]

 

• Torch by Collobert, Kavukcuoglu & Clement Farabet, widely used by Facebook [Lua]: [homepage] [github]

 

• Convnetjs by Andrej Karpathy [JavaScript]:  [homepage]  [github]

 

• Theano by Université de Montréal [Python]:  [homepage]  [github]

 

• Deeplearning4j by startup Skymind [Java]:  [homepage]  [github]

 

• Paddle by Baidu [C++]:  [homepage]  [github]

 

• Deep Scalable Sparse Tensor Network Engine (DSSTNE) by Amazon [C++]: [github]

 

• Neon by Nervana Systems [Python & Sass]:  [homepage]  [github]

 

• Chainer [Python]:  [homepage]  [github]

 

• h2o [Java]:  [homepage]  [github]

 

• Brainstorm by Istituto Dalle Molle di Studi sull’Intelligenza Artificiale (IDSIA) [Python]: [github]

 

• Matconvnet by Andrea Vedaldi [Matlab]:  [homepage]  [github]