【論文:Burstiness Scale(BuSca)隨機事件序列精簡建模】《Burstiness Scale: a highly parsimonious model for characterizing random series of events》RAS Alves, R Assun??o, POS de Melo (2016)O網頁鏈接

【論文:基于Gradient Norm的CNN初始化參數優化RandomOut】《RandomOut: Using a convolutional gradient norm to win The Filter Lottery》J P Cohen, H Z. Lo, W Ding [University of Massachusetts Boston] (2016)O網頁鏈接

《How many modes can a Gaussian mixture have?》by Carreira-Perpinan, M. A.O網頁鏈接

【開源:openFrameworks的t-SNE降維可視化擴展】"t-SNE dimensionality reduction technique for openFrameworks" by Gene Kogan GitHub:O網頁鏈接O網頁鏈接

【論文:加速DNN訓練的簡單重參數化方法Weight Normalization】《Weight Normalization: A Simple Reparameterization to Accelerate Training of Deep Neural Networks》T Salimans, D P. Kingma [Aidence & University of Amsterdam, OpenAI] (2016)O網頁鏈接

【Nature Neuroscience:目標導向深度學習模型與感覺皮層】《Using goal-driven deep learning models to understand sensory cortex》DLK Yamins, JJ DiCarlo (2016)O網頁鏈接

【手把手反向傳播實例】《A Step by Step Backpropagation Example》by Matt MazurO網頁鏈接? pdf:O網頁鏈接

【論文:非凸優化逃離高階鞍點的高效方法】《Efficient approaches for escaping higher order saddle points in non-convex optimization》A Anandkumar, R Ge [University of California & Duke University] (2016)O網頁鏈接

【神經網絡模型隨機梯度下降法—簡單實現與Torch應用】by@YushnengO網頁鏈接

【兩分鐘論文解讀系列——深度學習應用九則】《Two+ Minute Papers - 9 Cool Deep Learning Applications - YouTube》O網頁鏈接O秒拍視頻.