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- Exercise:Convolution and Pooling (230,398 views)
- 池化 (227,099 views)
- Gradient checking and advanced optimization (225,803 views)
- Using the MNIST Dataset (220,238 views)
- Exercise:Softmax Regression (218,478 views)
- Data Preprocessing (207,154 views)
- 白化 (201,190 views)
- Whitening (197,238 views)
- 数据预处理 (188,441 views)
- 神经网络向量化 (186,178 views)
- 梯度检验与高级优化 (181,734 views)
- Exercise:Self-Taught Learning (173,503 views)
- Deep Networks: Overview (169,307 views)
- Exercise: Implement deep networks for digit classification (169,296 views)
- 栈式自编码算法 (166,401 views)
- 可视化自编码器训练结果 (165,760 views)
- 深度网络概览 (164,180 views)
- Exercise:Vectorization (158,634 views)
- 从自我学习到深层网络 (157,517 views)
- 逻辑回归的向量化实现样例 (156,805 views)
- Sparse Coding (154,891 views)
- Self-Taught Learning (152,526 views)
- Exercise:PCA and Whitening (152,177 views)
- Implementing PCA/Whitening (145,435 views)
- 自我学习 (144,797 views)
- Fine-tuning Stacked AEs (135,208 views)
- 微调多层自编码算法 (134,964 views)
- Visualizing a Trained Autoencoder (134,124 views)
- Pooling (133,430 views)
- Linear Decoders (132,041 views)
- Self-Taught Learning to Deep Networks (131,310 views)
- 用反向传导思想求导 (131,219 views)
- Neural Network Vectorization (127,041 views)
- Logistic Regression Vectorization Example (126,864 views)
- Sparse Coding: Autoencoder Interpretation (115,569 views)
- 独立成分分析 (115,277 views)
- 矢量化编程 (114,916 views)
- 稀疏自编码器符号一览表 (103,761 views)
- 实现主成分分析和白化 (102,776 views)
- Exercise:PCA in 2D (101,613 views)
- Exercise:Learning color features with Sparse Autoencoders (100,576 views)
- Vectorization (90,311 views)
- 线性解码器 (85,302 views)
- Sparse Autoencoder Notation Summary (83,702 views)
- MATLAB Modules (83,186 views)
- Deriving gradients using the backpropagation idea (82,841 views)
- Independent Component Analysis (68,722 views)
- Exercise:Sparse Coding (62,228 views)
- Exercise:Independent Component Analysis (62,127 views)
- 稀疏自编码重述 (55,958 views)
