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- UFLDL Tutorial (4,752,739 views)
- UFLDL教程 (2,684,558 views)
- Main Page (1,256,439 views)
- 神经网络 (794,636 views)
- Softmax回归 (676,272 views)
- Neural Networks (558,559 views)
- 反向传导算法 (529,351 views)
- Backpropagation Algorithm (510,461 views)
- UFLDL Recommended Readings (498,239 views)
- Softmax Regression (493,342 views)
- Feature extraction using convolution (401,599 views)
- 主成分分析 (342,381 views)
- Exercise:Sparse Autoencoder (319,063 views)
- 自编码算法与稀疏性 (277,231 views)
- Autoencoders and Sparsity (261,042 views)
- 稀疏编码 (237,313 views)
- PCA (236,626 views)
- Stacked Autoencoders (231,407 views)
- 卷积特征提取 (221,465 views)
- Gradient checking and advanced optimization (219,708 views)
- Using the MNIST Dataset (213,541 views)
- Exercise:Convolution and Pooling (212,186 views)
- 池化 (209,360 views)
- 稀疏编码自编码表达 (206,085 views)
- Exercise:Softmax Regression (204,788 views)
- Data Preprocessing (199,014 views)
- 白化 (186,444 views)
- Whitening (186,254 views)
- 梯度检验与高级优化 (169,879 views)
- 数据预处理 (166,270 views)
- 神经网络向量化 (164,857 views)
- Exercise:Self-Taught Learning (161,437 views)
- Exercise: Implement deep networks for digit classification (161,034 views)
- Deep Networks: Overview (160,667 views)
- 可视化自编码器训练结果 (151,625 views)
- Sparse Coding (151,577 views)
- 栈式自编码算法 (150,827 views)
- 深度网络概览 (147,352 views)
- Exercise:Vectorization (147,236 views)
- Self-Taught Learning (146,470 views)
- Exercise:PCA and Whitening (141,852 views)
- 从自我学习到深层网络 (141,314 views)
- 逻辑回归的向量化实现样例 (138,431 views)
- Implementing PCA/Whitening (137,441 views)
- 自我学习 (132,310 views)
- Visualizing a Trained Autoencoder (131,067 views)
- Pooling (128,299 views)
- Fine-tuning Stacked AEs (126,692 views)
- Self-Taught Learning to Deep Networks (125,908 views)
- Logistic Regression Vectorization Example (123,954 views)
