User contributions
From Ufldl
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- 17:25, 16 March 2013 (diff | hist) 稀疏编码
- 17:23, 16 March 2013 (diff | hist) 稀疏编码
- 17:20, 16 March 2013 (diff | hist) 稀疏编码
- 17:02, 16 March 2013 (diff | hist) 稀疏编码
- 14:37, 16 March 2013 (diff | hist) 神经网络向量化
- 14:34, 16 March 2013 (diff | hist) 神经网络向量化
- 14:28, 16 March 2013 (diff | hist) 逻辑回归的向量化实现样例
- 14:17, 16 March 2013 (diff | hist) 神经网络向量化
- 14:16, 16 March 2013 (diff | hist) 神经网络向量化
- 14:11, 16 March 2013 (diff | hist) 神经网络向量化
- 14:04, 16 March 2013 (diff | hist) 神经网络向量化
- 13:50, 16 March 2013 (diff | hist) 神经网络向量化
- 13:47, 16 March 2013 (diff | hist) 神经网络向量化
- 13:42, 16 March 2013 (diff | hist) 神经网络向量化
- 13:34, 16 March 2013 (diff | hist) 神经网络向量化
- 13:28, 16 March 2013 (diff | hist) 神经网络向量化
- 13:26, 16 March 2013 (diff | hist) 神经网络向量化
- 12:50, 16 March 2013 (diff | hist) 神经网络向量化
- 10:28, 16 March 2013 (diff | hist) 自我学习 (→特征学习)
- 10:25, 16 March 2013 (diff | hist) 从自我学习到深层网络
- 09:17, 16 March 2013 (diff | hist) 自我学习
- 09:15, 16 March 2013 (diff | hist) 自我学习 (→On the terminology of unsupervised feature learning)
- 08:56, 16 March 2013 (diff | hist) 自我学习 (→On pre-processing the data)
- 08:49, 16 March 2013 (diff | hist) 自我学习 (→Learning features)
- 07:35, 16 March 2013 (diff | hist) 自我学习 (→Overview)
- 06:24, 16 March 2013 (diff | hist) Softmax回归 (→代价函数 Cost Function)
- 06:23, 16 March 2013 (diff | hist) Softmax回归 (→Softmax 回归 vs. k 个二元分类器 Softmax Regression vs. k Binary Classifiers)
- 06:19, 16 March 2013 (diff | hist) Softmax回归 (→Softmax回归与Logistic 回归的关系 Relationship to Logistic Regression)
- 06:13, 16 March 2013 (diff | hist) Softmax回归 (→权重衰减 Weight Decay)
- 06:08, 16 March 2013 (diff | hist) Softmax回归 (→softmax回归模型参数化的特点)
- 06:05, 16 March 2013 (diff | hist) Softmax回归 (→代价函数 Cost Function)
- 06:03, 16 March 2013 (diff | hist) Softmax回归 (→简介)
- 05:54, 16 March 2013 (diff | hist) Softmax回归 (→softmax回归参数化的特性 Properties of softmax regression parameterization)
- 05:42, 16 March 2013 (diff | hist) Softmax回归 (→代价函数 Cost Function)
- 05:23, 16 March 2013 (diff | hist) Softmax回归 (→简介)
- 05:21, 16 March 2013 (diff | hist) 稀疏编码
- 05:18, 16 March 2013 (diff | hist) Softmax回归 (→简介)
- 05:16, 16 March 2013 (diff | hist) Softmax回归 (→简介)
- 05:15, 16 March 2013 (diff | hist) 稀疏编码
- 05:14, 16 March 2013 (diff | hist) 稀疏编码
- 05:06, 16 March 2013 (diff | hist) 稀疏编码
- 04:46, 16 March 2013 (diff | hist) 稀疏编码
- 04:32, 16 March 2013 (diff | hist) 稀疏编码
- 03:58, 16 March 2013 (diff | hist) Softmax回归 (→简介 Introduction)
- 03:47, 16 March 2013 (diff | hist) 神经网络向量化
- 01:56, 16 March 2013 (diff | hist) 神经网络向量化
- 01:56, 16 March 2013 (diff | hist) 神经网络向量化
- 01:54, 16 March 2013 (diff | hist) 神经网络向量化
- 01:20, 16 March 2013 (diff | hist) 神经网络向量化
- 19:24, 15 March 2013 (diff | hist) 稀疏编码
- 19:23, 15 March 2013 (diff | hist) 稀疏编码
- 19:06, 15 March 2013 (diff | hist) 数据预处理
- 19:05, 15 March 2013 (diff | hist) 数据预处理
- 18:59, 15 March 2013 (diff | hist) 数据预处理
- 18:57, 15 March 2013 (diff | hist) 数据预处理
- 18:56, 15 March 2013 (diff | hist) 数据预处理
- 18:07, 15 March 2013 (diff | hist) 用反向传导思想求导 (→示例)
- 18:06, 15 March 2013 (diff | hist) 用反向传导思想求导 (→示例2:稀疏编码中的平滑地形L1稀疏罚函数)
- 18:05, 15 March 2013 (diff | hist) 用反向传导思想求导
- 17:57, 15 March 2013 (diff | hist) 用反向传导思想求导
- 17:57, 15 March 2013 (diff | hist) 用反向传导思想求导
- 17:26, 15 March 2013 (diff | hist) 用反向传导思想求导
- 16:22, 15 March 2013 (diff | hist) 用反向传导思想求导
- 15:37, 15 March 2013 (diff | hist) 数据预处理
- 15:36, 15 March 2013 (diff | hist) 数据预处理
- 15:36, 15 March 2013 (diff | hist) 数据预处理
- 15:33, 15 March 2013 (diff | hist) 神经网络向量化
- 15:21, 15 March 2013 (diff | hist) 神经网络向量化
- 15:20, 15 March 2013 (diff | hist) 神经网络向量化
- 15:20, 15 March 2013 (diff | hist) 神经网络向量化
- 17:48, 14 March 2013 (diff | hist) 数据预处理
- 17:46, 14 March 2013 (diff | hist) 数据预处理
- 17:45, 14 March 2013 (diff | hist) 数据预处理
- 17:44, 14 March 2013 (diff | hist) 数据预处理
- 17:36, 14 March 2013 (diff | hist) 数据预处理
- 17:00, 14 March 2013 (diff | hist) 数据预处理
- 16:47, 14 March 2013 (diff | hist) 逻辑回归的向量化实现样例
- 16:47, 14 March 2013 (diff | hist) 逻辑回归的向量化实现样例
- 16:40, 14 March 2013 (diff | hist) 数据预处理
- 16:40, 14 March 2013 (diff | hist) 逻辑回归的向量化实现样例
- 16:39, 14 March 2013 (diff | hist) 逻辑回归的向量化实现样例
- 16:37, 14 March 2013 (diff | hist) 逻辑回归的向量化实现样例
- 16:35, 14 March 2013 (diff | hist) 逻辑回归的向量化实现样例
- 16:34, 14 March 2013 (diff | hist) 逻辑回归的向量化实现样例
- 16:32, 14 March 2013 (diff | hist) 逻辑回归的向量化实现样例
- 16:31, 14 March 2013 (diff | hist) 逻辑回归的向量化实现样例
- 15:09, 14 March 2013 (diff | hist) 反向传导算法
- 15:03, 14 March 2013 (diff | hist) 反向传导算法
- 15:01, 14 March 2013 (diff | hist) 反向传导算法
- 14:59, 14 March 2013 (diff | hist) 逻辑回归的向量化实现样例
- 14:58, 14 March 2013 (diff | hist) 逻辑回归的向量化实现样例
- 14:58, 14 March 2013 (diff | hist) 反向传导算法
- 14:57, 14 March 2013 (diff | hist) 逻辑回归的向量化实现样例
- 14:55, 14 March 2013 (diff | hist) 反向传导算法
- 14:54, 14 March 2013 (diff | hist) 逻辑回归的向量化实现样例
- 14:54, 14 March 2013 (diff | hist) 反向传导算法
- 14:49, 14 March 2013 (diff | hist) 神经网络
- 14:48, 14 March 2013 (diff | hist) 神经网络 (→中英文对照)
- 14:32, 14 March 2013 (diff | hist) 矢量化编程
- 14:26, 14 March 2013 (diff | hist) 矢量化编程
(Latest | Earliest) View (newer 100 | older 100) (20 | 50 | 100 | 250 | 500)