29. 1. Neural networks and deep learning. !
http://neuralnetworksanddeeplearning.com/chap6.html
2. Neural Networks!
https://cs.stanford.edu/people/eroberts/courses/soco/projects/neural-networks/
History/history1.html
3. Improving Photo Search: A Step Across the Semantic Gap!
http://googleresearch.blogspot.jp/2013/06/improving-photo-search-step-across.html
4. DeepFace: Closing the Gap to Human-Level Performance in Face Verification!
http://www.cv-foundation.org/openaccess/content_cvpr_2014/papers/
Taigman_DeepFace_Closing_the_2014_CVPR_paper.pdf
5. Here’s How Deep Learning Will Accelerate Self-Driving Cars!
http://blogs.nvidia.com/blog/2015/02/24/deep-learning-drive/
6. COS 511: Theoretical Machine Learning. !
http://www.cs.princeton.edu/courses/archive/spr08/cos511/scribe_notes/0204.pdf
7. MNIST For ML Beginners. !
https://www.tensorflow.org/versions/r0.7/tutorials/mnist/beginners/index.html
8. Deep MNIST for Experts.!
https://www.tensorflow.org/versions/r0.7/tutorials/mnist/pros/index.html☛1✆(2016/2/27) MPS Yokohama ☞ ✁✂✄☎✝✞(c) Junya Kaneko