【IPython Notebook/Scikit-Learn機器學(xué)習(xí)學(xué)習(xí)資源匯總】《Dive into Machine Learning with iPython Notebook and Scikit-Learn》O網(wǎng)頁鏈接?pdf:O網(wǎng)頁鏈接
?"Dive into Machine Learning with Jupyter notebook, Python, and scikit-learn"??O網(wǎng)頁鏈接
'RNNLIB - recurrent neural network library for sequence learning problems' by Sergey Zyrianov GitHub:?O網(wǎng)頁鏈接
【深度學(xué)習(xí)】2+ 分鐘的Paper導(dǎo)讀：10個酷炫的深度學(xué)習(xí)應(yīng)用。L秒拍視頻
這10個應(yīng)用分別是：
1. Geolocation -?OPlaNet - Photo Geolocation with Convolutional Neural Networks
2. Super-resolution -?O網(wǎng)頁鏈接
3. Neural Network visualizer -?O網(wǎng)頁鏈接
4. Recurrent neural network for sentence completion:?O網(wǎng)頁鏈接
5. Human-in-the-loop and Doctor-in-the-loop:?O網(wǎng)頁鏈接
6. Emoji suggestions for images -?O網(wǎng)頁鏈接
7. MNIST handwritten numbers in HD -?O網(wǎng)頁鏈接
8. Deep Learning solution to the Netflix prize -?O網(wǎng)頁鏈接
9. Curating works of art -?O網(wǎng)頁鏈接
10. More robust neural networks against adversarial examples -?O網(wǎng)頁鏈接收起
Youtube上的5個小時的《Facebook F8 Developer Conference 2016》可以學(xué)到很多東西，推薦。?O網(wǎng)頁鏈接
【ML入門干貨】#劍橋大學(xué)信息論大神David MacKay在網(wǎng)上公開了他所講授的16課時的《信息論、模式識別與神經(jīng)網(wǎng)絡(luò)》入門課程?？戳艘幌?，個人感覺David的入門課講得算是出神入化，有很多很形象的例子，沒有滿屏幕的數(shù)學(xué)公式，可以讓沒有任何機器學(xué)習(xí)和信息論背景的人都能看懂。視頻：O網(wǎng)頁鏈接
【深度學(xué)習(xí)】Yann LeCun 2016深度學(xué)習(xí)課程的幻燈片（Deep Learning??Course by Yann LeCun at Collège de France 2016）百度云下載：O網(wǎng)頁鏈接?原地址：O網(wǎng)頁鏈接
【免費書+視頻+幻燈:信息論、推理與學(xué)習(xí)算法】《Information Theory, Inference, and Learning Algorithms》David J.C. MacKay (2005)?O網(wǎng)頁鏈接?Download:O網(wǎng)頁鏈接?Video:O網(wǎng)頁鏈接?Slide:O網(wǎng)頁鏈接
《Deep Recurrent Neural Networks for Sequence Learning in Spark | YouTube》?O網(wǎng)頁鏈接
《TensorFlow Large Scale Deep Learning For Intelligent Computer Systems | YouTube》?O網(wǎng)頁鏈接
《Detecting and Labeling Diseases in Chest X-Rays with Deep Learning》O網(wǎng)頁鏈接?ref:《Learning to Read Chest X-Rays: Recurrent Neural Cascade Model for Automated Image
《Automated Machine Learning: A Short History | DataRobot》by??O網(wǎng)頁鏈接Annotation》H Shin, K Roberts... (2016)?O網(wǎng)頁鏈接
《Exploiting Correlations Among Channels In Distributed Compressive Sensing With Convolutional Deep Stacking Networks》H Palangi, R Ward, L Deng [University of British Columbia & MSR] (2016)?O網(wǎng)頁鏈接
《How AI Can Predict Heart Failure Before it's Diagnosed | NVIDIA Blog》by Jamie Beckett?O網(wǎng)頁鏈接
《An Overview of Startups Advancing the Deep Learning in Healthcare Revolution | RE?WORK》by Daria Danilina?O網(wǎng)頁鏈接
