《Open Source Deep Learning Models Running as Microservices》by Stephanie Kim O网页链接
《Imitation Learning with Recurrent Neural Networks》K Nguyen [University of Maryland] (2016) O网页链接
《登顶世界第一! 相比其他AI，AlphaGo究竟有何不同？| IJCAI2016特邀演讲》 °登顶世界第一! 相比其他AI，AlphaGo究竟有何...
【深度学习RNN速成课】《Crash Course in Recurrent Neural Networks for Deep Learning - Machine Learning Mastery》by Jason Brownlee O网页链接译文《基于Keras/Python的深度学习：递归神经网络速成》 O网页链接
《Dask and Scikit-Learn -- Data Parallelism》 O网页链接
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《Deep learning tutorial on Caffe technology : basic commands, Python and C++ code》by Christopher Bourez O网页链接
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"imbalanced-learn for over and undersampling, polylearn for polynomial nets and fac-macs, forest-confidence-interval"“Three new scikit-learn-contrib projects” O网页链接
《Learning Unitary Operators with Help From u(n)》S L. Hyland, G Rätsch (2016) O网页链接
《Neural Semantic Encoders》T Munkhdalai, H Yu [University of Massachusetts] (2016) O网页链接
《Context Matters: Refining Object Detection in Video with Recurrent Neural Networks》S Tripathi, Z C. Lipton, S Belongie, T Nguyen [University of California San Diego & Cornell University] (2016) O网页链接
《Principal Component Analysis Cluster Plots with Plotly | Modern Data》by Sahir Bhatnagar O网页链接
《Generating Martian Terrain with Neural Networks》by Fredrik Norén O网页链接
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'Visual Search Server - A simple implementation of Visual Search using features extracted from Tensorflow inception model and Approximate Nearest Neighbors' by Akshay Bhat GitHub: O网页链接
'Implementation of a variational Auto-encoder' by Joost van Amersfoort GitHub: O网页链接
《Here's Why Google Is Open-Sourcing Some Of Its Most Important Technology | Forbes》by Greg Satell O网页链接
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