神经网络的直观解释

  本文中使用的所有图像和动画的版权都归下面参考文献中对应作者所有。

  参考文献

  Clarifai Home Page

  Shaoqing Ren, et al, “Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks”, 2015, arXiv:1506.01497

  Neural Network Architectures , Eugenio Culurciello’s blog

  CS231n Convolutional Neural Networks for Visual Recognition, Stanford

  Clarifai / Technology

  Machine Learning is Fun! Part 3: Deep Learning and Convolutional Neural Networks

  Feature extraction using convolution, Stanford

  Wikipedia article on Kernel (image processing)

  Deep Learning Methods for Vision, CVPR 2012 Tutorial

  Neural Networks by Rob Fergus, Machine Learning Summer School 2015

  What do the fully connected layers do in CNNs?

  Convolutional Neural Networks, Andrew Gibiansky

  A. W. Harley, “An Interactive Node-Link Visualization of Convolutional Neural Networks,” in ISVC, pages 867-877, 2015 ( link )

  Understanding Convolutional Neural Networks for NLP

  Backpropagation in Convolutional Neural Networks

  A Beginner’s Guide To Understanding Convolutional Neural Networks

  Vincent Dumoulin, et al, “A guide to convolution arithmetic for deep learning”, 2015,arXiv:1603.07285

  What is the difference between deep learning and usual machine learning?

  [How is a convolutional neural network able to learn invariant features? 63

 

  A Taxonomy of Deep Convolutional Neural Nets for Computer Vision