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Triks for Distributed Tensorflow. The Magic behind Deep Neural Network - Information Bottleneck. The Applications of Deep Learning in Recommender Systems. App Discovery with Google Play [2/2]. App Discovery with Google Play [1/2]. The tensorflow tutorials - Neural Network [2/4]. The tensorflow tutorials - Background [1/4]. The review of Recurrant Neural Network - NLP application [3/3]. The review of Recurrant Neural Network - LSTM and BRNN [2/3]. The review of Recurrant Neural Network - Background [1/3].

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Triks for Distributed Tensorflow. The Magic behind Deep Neural Network - Information Bottleneck. The Applications of Deep Learning in Recommender Systems. App Discovery with Google Play [2/2]. App Discovery with Google Play [1/2]. The tensorflow tutorials - Neural Network [2/4]. The tensorflow tutorials - Background [1/4]. The review of Recurrant Neural Network - NLP application [3/3]. The review of Recurrant Neural Network - LSTM and BRNN [2/3]. The review of Recurrant Neural Network - Background [1/3].

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1 Machine Learning

2 机器学习

3 Algorithm

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6 数学

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8 Recommender System

9 Distributed

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Numb3r3's Journal | numb3r3 | numb3r3.com Reviews

https://numb3r3.com

Triks for Distributed Tensorflow. The Magic behind Deep Neural Network - Information Bottleneck. The Applications of Deep Learning in Recommender Systems. App Discovery with Google Play [2/2]. App Discovery with Google Play [1/2]. The tensorflow tutorials - Neural Network [2/4]. The tensorflow tutorials - Background [1/4]. The review of Recurrant Neural Network - NLP application [3/3]. The review of Recurrant Neural Network - LSTM and BRNN [2/3]. The review of Recurrant Neural Network - Background [1/3].

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Radial Bais Function Network. EasyIcon Icon Search Engine. Pyright 2011 - 2014 by fwang.

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Principal Component Analysis(PCA) | numb3r3

http://numb3r3.com/2013/08/28/pca.html

Suppose $ $ X $ $ is a $ $ n times p $ $ matrix, where n is the number of objects and p is the number of features. $ $X$ $ is zero mean. X T X = nV $ $ $ V $ $ is the covariance matrix of $ $X$ $, and it's obvious that $ $V$ $ is a symmetric and positive-definite matrix. Begin{eqnarray*} vec{x} i - ( vec{x} i cdot vec{w}) vec{w} 2 &=& vec{x} i 2-2( vec{x} i cdot vec{w}) 2 ( vec{x} i cdot vec{w}) vec{w} 2 &=& vec{x} i 2 - ( vec{x} i cdot vec{w}) 2 end{eqnarray*} $. For all vectors, the residuals is:.

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用什么数据结构表达稀疏矩阵比较好? | numb3r3

http://numb3r3.com/2014/05/01/sparse-matrix.html

两个候选，(1) unordered map 哈希表，(2) vector。 Pyright 2011 - 2014 by fwang.

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Categories | numb3r3

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Pyright 2011 - 2014 by fwang.

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Log Odds Ratio Informative Dirichlet Prior. 机器学习类别特征的预处理独热编码 One-Hot Encoding. Log Odds Ratio Informative Dirichlet Prior. Pyright 2011 - 2014 by fwang.

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Numb3r3's Journal | numb3r3

Triks for Distributed Tensorflow. The Magic behind Deep Neural Network - Information Bottleneck. The Applications of Deep Learning in Recommender Systems. App Discovery with Google Play [2/2]. App Discovery with Google Play [1/2]. The tensorflow tutorials - Neural Network [2/4]. The tensorflow tutorials - Background [1/4]. The review of Recurrant Neural Network - NLP application [3/3]. The review of Recurrant Neural Network - LSTM and BRNN [2/3]. The review of Recurrant Neural Network - Background [1/3].

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