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- UFLDL Tutorial (4,843,267 views)
- UFLDL教程 (2,704,538 views)
- Main Page (1,298,668 views)
- 神经网络 (822,520 views)
- Softmax回归 (697,533 views)
- Neural Networks (568,348 views)
- 反向传导算法 (562,998 views)
- Backpropagation Algorithm (521,998 views)
- UFLDL Recommended Readings (515,944 views)
- Softmax Regression (509,358 views)
- Feature extraction using convolution (424,516 views)
- 主成分分析 (375,876 views)
- Exercise:Sparse Autoencoder (325,253 views)
- 自编码算法与稀疏性 (298,469 views)
- Autoencoders and Sparsity (266,135 views)
- 稀疏编码 (263,685 views)
- PCA (249,506 views)
- Stacked Autoencoders (236,842 views)
- 卷积特征提取 (230,596 views)
- 稀疏编码自编码表达 (230,436 views)
- Exercise:Convolution and Pooling (227,380 views)
- Gradient checking and advanced optimization (224,937 views)
- 池化 (224,848 views)
- Using the MNIST Dataset (219,447 views)
- Exercise:Softmax Regression (215,975 views)
- Data Preprocessing (205,554 views)
- 白化 (199,296 views)
- Whitening (196,069 views)
- 数据预处理 (185,722 views)
- 神经网络向量化 (183,393 views)
- 梯度检验与高级优化 (180,362 views)
- Exercise:Self-Taught Learning (171,542 views)
- Exercise: Implement deep networks for digit classification (168,213 views)
- Deep Networks: Overview (168,044 views)
- 可视化自编码器训练结果 (164,246 views)
- 栈式自编码算法 (163,855 views)
- 深度网络概览 (161,376 views)
- Exercise:Vectorization (156,576 views)
- 从自我学习到深层网络 (155,572 views)
- 逻辑回归的向量化实现样例 (154,940 views)
- Sparse Coding (154,506 views)
- Self-Taught Learning (151,479 views)
- Exercise:PCA and Whitening (150,111 views)
- Implementing PCA/Whitening (144,210 views)
- 自我学习 (143,206 views)
- Fine-tuning Stacked AEs (133,828 views)
- Visualizing a Trained Autoencoder (133,685 views)
- 微调多层自编码算法 (133,345 views)
- Pooling (132,713 views)
- Self-Taught Learning to Deep Networks (130,511 views)
