Slide 12
Slide 12 text
@nyghtowl
Research References
● DL4J CNN Examples: https://github.com/deeplearning4j/ComputerVision-examples
● DL4J Examples: https://github.com/deeplearning4j/dl4j-0.4-examples
● CS231Convolution Neural Nets for Visual Recognition: https://cs231n.github.io/
● Tiny ImageNet Classification with CNN: http://cs231n.stanford.edu/reports/leonyao_final.pdf
● AlexNet: http://papers.nips.cc/paper/4824-imagenet-classification-with-deep-convolutional-neural-
networks.pdf & https://github.com/BVLC/caffe/blob/master/models/bvlc_alexnet/train_val.prototxt
● Neural Networks and Deep Learning: http://neuralnetworksanddeeplearning.com/chap3.html
● Neuarl Networks: http://nbviewer.jupyter.
org/github/masinoa/machine_learning/blob/master/04_Neural_Networks.ipynb
● Visual Information Theory: https://colah.github.io/posts/2015-09-Visual-Information/
● Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift: http:
//jmlr.org/proceedings/papers/v37/ioffe15.pdf
● Deep Learning Book: http://www.deeplearningbook.org/
● Neural Networks for Machine Learning: https://www.coursera.org/course/neuralnets