《Open Source Deep Learning Models Running as Microservices》by Stephanie Kim O網(wǎng)頁(yè)鏈接
《Imitation Learning with Recurrent Neural Networks》K Nguyen [University of Maryland] (2016) O網(wǎng)頁(yè)鏈接
《登頂世界第一! 相比其他AI躲惰，AlphaGo究竟有何不同砂沛？| IJCAI2016特邀演講》 °登頂世界第一! 相比其他AI献烦，AlphaGo究竟有何...
【深度學(xué)習(xí)RNN速成課】《Crash Course in Recurrent Neural Networks for Deep Learning - Machine Learning Mastery》by Jason Brownlee O網(wǎng)頁(yè)鏈接譯文《基于Keras/Python的深度學(xué)習(xí)：遞歸神經(jīng)網(wǎng)絡(luò)速成》 O網(wǎng)頁(yè)鏈接
《Dask and Scikit-Learn -- Data Parallelism》 O網(wǎng)頁(yè)鏈接
《Exploring the Artificially Intelligent Future of Finance | RE?WORK Blog》by Katie Pollitt O網(wǎng)頁(yè)鏈接
《Deep learning tutorial on Caffe technology : basic commands, Python and C++ code》by Christopher Bourez O網(wǎng)頁(yè)鏈接
《機(jī)器學(xué)習(xí)中的優(yōu)化理論，需要學(xué)習(xí)哪些資料才能看懂忿偷？ - 知乎》 O機(jī)器學(xué)習(xí)中的優(yōu)化理論金顿，需要學(xué)習(xí)哪些資料才能...
"imbalanced-learn for over and undersampling, polylearn for polynomial nets and fac-macs, forest-confidence-interval"“Three new scikit-learn-contrib projects” O網(wǎng)頁(yè)鏈接
《Learning Unitary Operators with Help From u(n)》S L. Hyland, G R?tsch (2016) O網(wǎng)頁(yè)鏈接
《Neural Semantic Encoders》T Munkhdalai, H Yu [University of Massachusetts] (2016) O網(wǎng)頁(yè)鏈接
《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網(wǎng)頁(yè)鏈接
《Principal Component Analysis Cluster Plots with Plotly | Modern Data》by Sahir Bhatnagar O網(wǎng)頁(yè)鏈接
《Generating Martian Terrain with Neural Networks》by Fredrik Norén O網(wǎng)頁(yè)鏈接
《Tuning a scikit-learn estimator with skopt》 O網(wǎng)頁(yè)鏈接"scikit-optimize - A sandmine for blackbox optimization methods following the scipy.optimize interface" by Gilles Louppe GitHub:O網(wǎng)頁(yè)鏈接
《Understanding Bias: A Pre-requisite For Trustworthy Results》by adam kelleher O網(wǎng)頁(yè)鏈接
'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網(wǎng)頁(yè)鏈接
'Implementation of a variational Auto-encoder' by Joost van Amersfoort GitHub: O網(wǎng)頁(yè)鏈接
《Here's Why Google Is Open-Sourcing Some Of Its Most Important Technology | Forbes》by Greg Satell O網(wǎng)頁(yè)鏈接
