本文中使用的所有圖像和動畫的版權(quán)都歸下面參考文獻中對應(yīng)作者所有。
參考文獻
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