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- UFLDL Tutorial (4,843,818 views)
- UFLDL教程 (2,704,981 views)
- Main Page (1,299,154 views)
- 神经网络 (822,768 views)
- Softmax回归 (697,717 views)
- Neural Networks (568,461 views)
- 反向传导算法 (563,498 views)
- Backpropagation Algorithm (522,105 views)
- UFLDL Recommended Readings (516,044 views)
- Softmax Regression (509,455 views)
- Feature extraction using convolution (424,745 views)
- 主成分分析 (376,246 views)
- Exercise:Sparse Autoencoder (325,375 views)
- 自编码算法与稀疏性 (298,675 views)
- Autoencoders and Sparsity (266,180 views)
- 稀疏编码 (263,942 views)
- PCA (249,573 views)
- Stacked Autoencoders (236,879 views)
- 稀疏编码自编码表达 (230,754 views)
- 卷积特征提取 (230,694 views)
- Exercise:Convolution and Pooling (227,464 views)
- 池化 (225,141 views)
- Gradient checking and advanced optimization (224,984 views)
- Using the MNIST Dataset (219,484 views)
- Exercise:Softmax Regression (216,031 views)
- Data Preprocessing (205,624 views)
- 白化 (199,400 views)
- Whitening (196,117 views)
- 数据预处理 (185,866 views)
- 神经网络向量化 (183,554 views)
- 梯度检验与高级优化 (180,446 views)
- Exercise:Self-Taught Learning (171,603 views)
- Exercise: Implement deep networks for digit classification (168,277 views)
- Deep Networks: Overview (168,093 views)
- 可视化自编码器训练结果 (164,403 views)
- 栈式自编码算法 (164,180 views)
- 深度网络概览 (161,506 views)
- Exercise:Vectorization (156,628 views)
- 从自我学习到深层网络 (155,681 views)
- 逻辑回归的向量化实现样例 (155,073 views)
- Sparse Coding (154,535 views)
- Self-Taught Learning (151,509 views)
- Exercise:PCA and Whitening (150,150 views)
- Implementing PCA/Whitening (144,250 views)
- 自我学习 (143,307 views)
- Fine-tuning Stacked AEs (133,902 views)
- Visualizing a Trained Autoencoder (133,712 views)
- 微调多层自编码算法 (133,448 views)
- Pooling (132,781 views)
- Self-Taught Learning to Deep Networks (130,541 views)
