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- Linear Decoders (32 revisions)
- 深度网络概览 (32 revisions)
- UFLDL Recommended Readings (31 revisions)
- 逻辑回归的向量化实现样例 (30 revisions)
- 用反向传导思想求导 (29 revisions)
- Fine-tuning Stacked AEs (28 revisions)
- 独立成分分析 (27 revisions)
- Data Preprocessing (26 revisions)
- Exercise: Implement deep networks for digit classification (25 revisions)
- 从自我学习到深层网络 (25 revisions)
- 微调多层自编码算法 (25 revisions)
- Neural Networks (23 revisions)
- 白化 (23 revisions)
- 自我学习 (23 revisions)
- Implementing PCA/Whitening (22 revisions)
- 可视化自编码器训练结果 (22 revisions)
- Deep Networks: Overview (21 revisions)
- Self-Taught Learning (21 revisions)
- 栈式自编码算法 (21 revisions)
- 稀疏自编码重述 (20 revisions)
- Exercise:Learning color features with Sparse Autoencoders (19 revisions)
- Sparse Coding: Autoencoder Interpretation (19 revisions)
- 梯度检验与高级优化 (19 revisions)
- Whitening (18 revisions)
- Self-Taught Learning to Deep Networks (17 revisions)
- 卷积特征提取 (17 revisions)
- 矢量化编程 (17 revisions)
- Neural Network Vectorization (16 revisions)
- Exercise:Sparse Autoencoder (15 revisions)
- Backpropagation Algorithm (14 revisions)
- 实现主成分分析和白化 (14 revisions)
- Exercise:PCA in 2D (13 revisions)
- Stacked Autoencoders (13 revisions)
- Pooling (11 revisions)
- Using the MNIST Dataset (11 revisions)
- 稀疏自编码器符号一览表 (11 revisions)
- 线性解码器 (11 revisions)
- Exercise:Independent Component Analysis (10 revisions)
- Independent Component Analysis (10 revisions)
- Autoencoders and Sparsity (9 revisions)
- Deriving gradients using the backpropagation idea (9 revisions)
- Exercise: PCA in 2D (9 revisions)
- Logistic Regression Vectorization Example (9 revisions)
- Sparse Coding (9 revisions)
- Visualizing a Trained Autoencoder (9 revisions)
- Vectorization (8 revisions)
- Exercise:Sparse Coding (7 revisions)
- Gradient checking and advanced optimization (7 revisions)
- MATLAB Modules (5 revisions)
- SOFTMAX回归 (5 revisions)