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user: vierja created: 2010-04-06 karma: 344 github.com/vierja submissions: Guide to Visual QA: Datasets, Approaches and Evaluation 4 points | 0 comments Faster R-CNN: Down the rabbit hole of modern object detection 113 points | 10 comments Computing numeric representations of words in a high-dimensional space 2 points | 0 comments Object detection: an overview in the age of Deep Learning 5 points | 0 comments Finding the right representation for your NLP data 5 points | 0 comments Supercharge Your Computer Vision Models with the TensorFlow Object Detection API 4 points | 0 comments 0 points | 0 comments Machine Learning Conferences 2017 7 points | 0 comments GANs will change the world 1 points | 0 comments DeepMind’s work in 2016: a round-up 3 points | 0 comments Fast-Forwarding to a Future of On-Demand Urban Air Transportation 1 points | 0 comments Uber Elevate: Fast-Forwarding to a Future of On-Demand Urban Air Transportation [pdf] 5 points | 0 comments 0 points | 0 comments George “Geohot” Hotz announces a self driving car kit [video] 13 points | 1 comments FastText and Gensim word embeddings 2 points | 0 comments TF-Slim: A high level library to define complex models in TensorFlow 2 points | 0 comments 0 points | 0 comments Facebook acquires video filter app Msqrd 6 points | 3 comments The technology behind preview photos 2 points | 0 comments Silk Road founder Ross Ulbricht has been sentenced to life in prison 15 points | 2 comments Watch people use LMGTFY 2 points | 0 comments Facebook Bolsters Artificial Intelligence Research Team 3 points | 0 comments Mobile performance: Tooling infrastructure at Facebook 3 points | 0 comments Neural Network wrapper for pylearn2 compatible with scikit-learn 1 points | 0 comments Why Facebook’s R&D spend is huge right now 2 points | 0 comments Torch7 Cheatsheet 1 points | 0 comments The Hard Thing About Hard Things Chapter 1 – Annotated with Backstory 2 points | 0 comments Parserator – A family of probabalistic parsers 54 points | 15 comments Crossfader: Autoencoders to find structure in arbitrary datasets 3 points | 0 comments