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- 梯度检验与高级优化 (181,477 views)
- Exercise:Self-Taught Learning (173,456 views)
- Deep Networks: Overview (169,268 views)
- Exercise: Implement deep networks for digit classification (169,251 views)
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- 可视化自编码器训练结果 (165,501 views)
- 深度网络概览 (163,877 views)
- Exercise:Vectorization (158,597 views)
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- 逻辑回归的向量化实现样例 (156,481 views)
- Sparse Coding (154,854 views)
- Self-Taught Learning (152,473 views)
- Exercise:PCA and Whitening (152,126 views)
- Implementing PCA/Whitening (145,359 views)
- 自我学习 (144,551 views)
- Fine-tuning Stacked AEs (135,176 views)
- 微调多层自编码算法 (134,692 views)
- Visualizing a Trained Autoencoder (134,100 views)
- Pooling (133,393 views)
- Linear Decoders (131,964 views)
- Self-Taught Learning to Deep Networks (131,296 views)
- 用反向传导思想求导 (130,850 views)
- Neural Network Vectorization (127,024 views)
- Logistic Regression Vectorization Example (126,839 views)
- Sparse Coding: Autoencoder Interpretation (115,520 views)
- 独立成分分析 (115,042 views)
- 矢量化编程 (114,718 views)
- 稀疏自编码器符号一览表 (103,619 views)
- 实现主成分分析和白化 (102,626 views)
- Exercise:PCA in 2D (101,582 views)
- Exercise:Learning color features with Sparse Autoencoders (100,550 views)
- Vectorization (90,288 views)
- 线性解码器 (85,185 views)
- Sparse Autoencoder Notation Summary (83,682 views)
- MATLAB Modules (83,148 views)
- Deriving gradients using the backpropagation idea (82,805 views)
- Independent Component Analysis (68,692 views)
- Exercise:Sparse Coding (62,198 views)
- Exercise:Independent Component Analysis (62,098 views)
- 稀疏自编码重述 (55,751 views)
- Useful Links (33,287 views)
- Style Guide (28,323 views)
- Backpropagation vectorization hints (26,147 views)
- Fminlbfgs Details (22,897 views)
- Exercise: PCA in 2D (17,780 views)
- Sandbox (17,025 views)
- Neural Networks CN (14,038 views)
- SOFTMAX回归 (12,890 views)
- Visualization with PCA/Whitening (7,276 views)
- Reflist (6,490 views)
