2. Who
Christian S. Perone
Machine Learning Engineer
Software Engineer
Blog
http://blog.christianperone.com
Open-source
http://github.com/perone
Twitter @tarantulae
3. Agenda
Traditional Architectures
Siamese Networks
Dense Predictions
Video
Music Recommendation
Localization, Detection, Alignment
Q & A
5. Traditional Building Blocks
Three main building blocks:
– Convolutional
– Pooling
– Fully Connected (Dense)
Image by Liu et al, 2016
Architecture Overview
21. Architectural Zoo
Dense Prediction
Let there be Color!: Joint End-to-end Learning of Global and Local Image Priors for Automatic Image Colorization with Simultaneous Classification. Satoshi Iizuka et al. 2016
22. Architectural Zoo
Dense Prediction
Let there be Color!: Joint End-to-end Learning of Global and Local Image Priors for Automatic Image Colorization with Simultaneous Classification. Satoshi Iizuka et al. 2016
23. Architectural Zoo
Dense Prediction
Let there be Color!: Joint End-to-end Learning of Global and Local Image Priors for Automatic Image Colorization with Simultaneous Classification. Satoshi Iizuka et al. 2016
24. Architectural Zoo
Dense Prediction
Let there be Color!: Joint End-to-end Learning of Global and Local Image Priors for Automatic Image Colorization with Simultaneous Classification. Satoshi Iizuka et al. 2016
38. Architectural Zoo
Localization, Detection and Alignment
Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks. Ren et al. 2015.
Image by Ross Girschick / Slide from CS231n, Fei-Fei & Andrej Karpathy & Justin Johnson. 2016.