《Model-based Deep Hand Pose Estimation》X Zhou, Q Wan, W Zhang, X Xue, Y Wei [Fudan University & MSR] (2016)O網(wǎng)頁鏈接GitHub:O網(wǎng)頁鏈接
《Are there any academic papers that discuss the relationship between neural network size and the complexity of the data they are able to model? | Quora》O網(wǎng)頁鏈接
【免費書:強化學習介紹】《Reinforcement Learning: An Introduction》R S. Sutton, A G. Barto, MIT Press, Cambridge, MAO網(wǎng)頁鏈接第一版(1998)打包:O網(wǎng)頁鏈接第二版(2015草稿):O網(wǎng)頁鏈接以及相關(guān)課程資料:O網(wǎng)頁鏈接 "Implementing exercises" by Julian Schrittwieser GitHub:O網(wǎng)頁鏈接
'metric-learn - Metric learning algorithms in Python'? GitHub:Oall-umass/metric-learn · GitHub
'RLPy - Reinforment Learning Framework'? GitHub:O網(wǎng)頁鏈接
《LSTMetallica: Generation drum tracks by learning the drum tracks of 60 Metallica songs | Keunwoo Choi》by KEUNWOOCHOIO網(wǎng)頁鏈接 GitHub:O網(wǎng)頁鏈接
【論文:深度強化學習異步算法(多核單CPU高效多線程)】《Asynchronous Methods for Deep Reinforcement Learning》V Mnih, A P Badia, M Mirza, A Graves, T P. Lillicrap, T Harley, D Silver, K Kavukcuoglu [Google] (2016)O網(wǎng)頁鏈接
Reproduction by Kosuke Miyoshi GitHub:O網(wǎng)頁鏈接//@愛可可-愛生活: Asynchronous-Methods-for-Deep-Reinforcement-Learning by Samuel Graván GitHub:O網(wǎng)頁鏈接
《CS188 Artificial Intelligence - Lecture 24 Advanced Applications: Robot Learning | YouTube》by Pieter AbbeelO網(wǎng)頁鏈接
【"Max-Margin DeepWalk: Discriminative Learning of Network Representation"】#IJCAI 2016#論文Max-Margin DeepWalk: Discriminative Learning of Network Representation 已經(jīng)公開：O網(wǎng)頁鏈接數(shù)據(jù)代碼下載：O網(wǎng)頁鏈接本文由博士生涂存超與訪問本科生張惟誠共同完成，提出Max-Margin DeepWalk算法，引入社會網(wǎng)絡(luò)節(jié)點的標簽信息穷当，使網(wǎng)絡(luò)表示學習模型具有更好的區(qū)分能力持偏。
'Sequence-to-sequence model with LSTM encoder/decoders and attention' by harvardnlp GitHub:O網(wǎng)頁鏈接
《Python 201: An Intro to itertools | The Mouse Vs. The Python》by MikeO網(wǎng)頁鏈接
《Randomized Forest :Thought vectors to build a new class of Ensemble algorithms》by Ashish KumarO網(wǎng)頁鏈接
《10+2 Data Science Methods that Every Data Scientist Should Know in 2016》by Takashi J. OZAKIO網(wǎng)頁鏈接
《The amazing power of word vectors》by Adrian ColyerO網(wǎng)頁鏈接
《What is the difference between Bagging and Boosting?》by xristicaO網(wǎng)頁鏈接 Part2:O網(wǎng)頁鏈接Part3:O網(wǎng)頁鏈接
《Comprehensive Guide to Learning Python for Data Analysis and Data Science》by Martijn TheuwissenO網(wǎng)頁鏈接
《Holding Your Hand Like a Small Child Through A Neural Network》by psingman Part1:O網(wǎng)頁鏈接Part2:O網(wǎng)頁鏈接
《Evolutionary Computation》by Alan Zucconi Part1:O網(wǎng)頁鏈接
【論文+代碼(即將):Attention-based神經(jīng)(感知)機器翻譯的高效實現(xiàn)】《Effective Approaches to Attention-based Neural Machine Translation》MT Luong, H Pham, CD Manning (EMNLP 2015)O網(wǎng)頁鏈接code&models(waiting…):O網(wǎng)頁鏈接
"Effective Approaches to Attention-based Neural Machine Translationsm" GitHub:O網(wǎng)頁鏈接
《Hierarchical Deep Reinforcement Learning: Integrating Temporal Abstraction and Intrinsic Motivation》T D. Kulkarni, K R. Narasimhan, A Saeedi, J B. Tenenbaum [MIT] (2016)O網(wǎng)頁鏈接
《Trading-Off Cost of Deployment Versus Accuracy in Learning Predictive Models》D P. Robinson, S Saria [Johns Hopkins University] (2016)O網(wǎng)頁鏈接
《A Factorization Machine Framework for Testing Bigram Embeddings in Knowledgebase Completion》J Welbl, G Bouchard, S Riedel [University College London] (2016)O網(wǎng)頁鏈接
'GPy - Gaussian processes framework in python'? GitHub:O網(wǎng)頁鏈接
人工智能學家 提供的譯文《微軟：讓機器根據(jù)圖片組描繪故事》O微軟：讓機器根據(jù)圖片組描繪故事//@愛可可-愛生活: 《Microsoft researchers are teaching AI to write stories about groups of photos | VentureBeat》by Jordan NovetO網(wǎng)頁鏈接 "Microsoft SIND - Sequential Image Narrative Dataset: first dataset for sequential vision-to-language"O網(wǎng)頁鏈接ref:《Visual Storytelling》T-H Huang, F Ferraro... [MSR] (2016)O網(wǎng)頁鏈接
《走近人臉檢測：從 VJ 到深度學習》by 鄔書哲 via:人工智能學家 上:O長文干貨！走近人臉檢測：從 VJ 到深度學習（上）
下：O長文干貨！走近人臉檢測：從VJ到深度學習（下）via:深度學習大講堂
《Chained Gaussian Processes》A D. Saul, J Hensman, A Vehtari, N D. Lawrence [University of Sheffield] (2016)O網(wǎng)頁鏈接? GitHub:O網(wǎng)頁鏈接
《ParseNet: Looking Wider to See Better》W Liu, A Rabinovich, A C. Berg [UNC Chapel Hill & MagicLeap] (2015)O網(wǎng)頁鏈接GitHub:O網(wǎng)頁鏈接ref:O網(wǎng)頁鏈接
《An Attentive Neural Architecture for Fine-grained Entity Type Classification》S Shimaoka, P Stenetorp, K Inui, S Riedel [Tohoku University & University College London] (2016)O網(wǎng)頁鏈接
《A Complete Tutorial on Tree Based Modeling from Scratch (in R & Python)》by Manish SaraswatO網(wǎng)頁鏈接?@數(shù)盟社區(qū)提供的譯文《基于樹的建模-完整教程(R & Python)》O網(wǎng)頁鏈接
@數(shù)盟社區(qū)提供的譯文《基于樹的建模-完整教程(R & Python)》O網(wǎng)頁鏈接
