Month: May 2015

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Chinese Edition: A Statistical View of Deep Learning (II)/ 从统计学角度来看深度学习

shakirm

Colleagues from the Capital of Statistics, an online statistics community in China, have been kind enough to translate my second post in this series, A statistical View of Deep Learning (II): Auto-encoders and Free Energy,  in the hope that they might be of interest to machine learning and statistics researchers in China (and to Chinese readers). Find it here: 从统计学角度来看深度学习（2）：自动编码器和自由能 Continue reading Chinese Edition: A Statistical View of Deep Learning (II)/ 从统计学角度来看深度学习

Machine Learning and StatisticsLeave a comment

Chinese Edition: A statistical View of Deep Learning (I)/ 从统计学角度来看深度学习

shakirm

Colleagues from the Capital of Statistics, an online statistics community in China, have been kind enough to translate my first post in this series, A statistical View of Deep Learning (I): Recursive GLMs,  in the hope that they might be of interest to machine learning and statistics researchers in China (and to Chinese readers). Find it here: 从统计学角度来看深度学习（1）：递归广义线性模型   Continue reading Chinese Edition: A statistical View of Deep Learning (I)/ 从统计学角度来看深度学习

Machine Learning and Statistics4 Comments

A Statistical View of Deep Learning (IV): Recurrent Nets and Dynamical Systems

shakirm

Recurrent neural networks (RNNs) are now established as one of the key tools in the machine learning toolbox for handling large-scale sequence data. The ability to specify highly powerful models, advances in stochastic gradient descent, the availability of large volumes of … Continue reading A Statistical View of Deep Learning (IV): Recurrent Nets and Dynamical Systems