Oldest pages
From Ufldl
View (previous 250 | next 250) (20 | 50 | 100 | 250 | 500)
- Reflist (02:42, 27 February 2011)
- Backpropagation vectorization hints (01:42, 2 March 2011)
- Sandbox (11:50, 23 March 2011)
- Visualization with PCA/Whitening (20:20, 6 April 2011)
- Exercise: PCA in 2D (23:57, 10 April 2011)
- Fminlbfgs Details (01:15, 22 April 2011)
- Code (01:25, 22 April 2011)
- Wiki documentation (16:57, 22 April 2011)
- Style Guide (02:16, 29 April 2011)
- MATLAB Modules (19:55, 29 April 2011)
- Using the MNIST Dataset (14:46, 3 May 2011)
- Exercise:Vectorization (11:00, 26 May 2011)
- Exercise:PCA in 2D (11:01, 26 May 2011)
- Exercise:PCA and Whitening (11:01, 26 May 2011)
- Exercise:Softmax Regression (11:02, 26 May 2011)
- Exercise:Self-Taught Learning (11:02, 26 May 2011)
- Exercise: Implement deep networks for digit classification (11:04, 26 May 2011)
- Exercise:Sparse Coding (06:59, 29 May 2011)
- Exercise:Convolution and Pooling (19:16, 3 June 2011)
- Useful Links (17:18, 9 June 2011)
- Exercise:Learning color features with Sparse Autoencoders (21:00, 21 June 2011)
- Exercise:Independent Component Analysis (04:31, 4 October 2011)
- UFLDL Recommended Readings (07:00, 18 February 2012)
- Exercise:Sparse Autoencoder (14:34, 10 July 2012)
- UFLDL Tutorial CN (13:57, 5 March 2013)
- SOFTMAX回归 (15:15, 11 March 2013)
- 稀疏自编码重述 (12:45, 19 March 2013)
- Neural Networks CN (00:27, 29 March 2013)
- Main Page (01:25, 31 March 2013)
- Neural Networks (19:38, 6 April 2013)
- 神经网络 (12:34, 7 April 2013)
- Gradient checking and advanced optimization (12:40, 7 April 2013)
- Autoencoders and Sparsity (12:43, 7 April 2013)
- Sparse Autoencoder Notation Summary (12:45, 7 April 2013)
- Visualizing a Trained Autoencoder (12:49, 7 April 2013)
- Backpropagation Algorithm (12:50, 7 April 2013)
- Vectorization (13:07, 7 April 2013)
- Logistic Regression Vectorization Example (13:09, 7 April 2013)
- Neural Network Vectorization (13:13, 7 April 2013)
- PCA (13:18, 7 April 2013)
- Whitening (13:20, 7 April 2013)
- Implementing PCA/Whitening (13:22, 7 April 2013)
- Softmax Regression (13:24, 7 April 2013)
- Self-Taught Learning (13:26, 7 April 2013)
- Self-Taught Learning to Deep Networks (13:29, 7 April 2013)
- Deep Networks: Overview (13:31, 7 April 2013)
- Stacked Autoencoders (13:33, 7 April 2013)
- UFLDL Tutorial (18:22, 7 April 2013)
- Fine-tuning Stacked AEs (04:04, 8 April 2013)
- Linear Decoders (04:06, 8 April 2013)
- Feature extraction using convolution (04:11, 8 April 2013)
- Pooling (04:17, 8 April 2013)
- 数据预处理 (04:22, 8 April 2013)
- Data Preprocessing (04:22, 8 April 2013)
- Deriving gradients using the backpropagation idea (04:26, 8 April 2013)
- Sparse Coding (04:28, 8 April 2013)
- Independent Component Analysis (04:35, 8 April 2013)
- 独立成分分析 (04:37, 8 April 2013)
- 矢量化编程 (04:59, 8 April 2013)
- 神经网络向量化 (05:02, 8 April 2013)
- 主成分分析 (05:04, 8 April 2013)
- 栈式自编码算法 (05:15, 8 April 2013)
- 微调多层自编码算法 (05:16, 8 April 2013)
- 线性解码器 (05:18, 8 April 2013)
- 卷积特征提取 (05:20, 8 April 2013)
- 池化 (05:21, 8 April 2013)
- 梯度检验与高级优化 (05:33, 8 April 2013)
- 稀疏自编码器符号一览表 (05:34, 8 April 2013)
- 自我学习 (05:35, 8 April 2013)
- 白化 (05:37, 8 April 2013)
- 实现主成分分析和白化 (05:38, 8 April 2013)
- Softmax回归 (05:38, 8 April 2013)
- 自编码算法与稀疏性 (07:46, 8 April 2013)
- 逻辑回归的向量化实现样例 (08:31, 8 April 2013)
- 稀疏编码 (08:32, 8 April 2013)
- 用反向传导思想求导 (09:53, 8 April 2013)
- UFLDL教程 (00:26, 10 April 2013)
- 从自我学习到深层网络 (13:38, 10 April 2013)
- 深度网络概览 (14:30, 17 April 2013)
- Sparse Coding: Autoencoder Interpretation (02:49, 19 April 2013)
- 可视化自编码器训练结果 (15:50, 7 May 2013)
- 稀疏编码自编码表达 (06:22, 14 May 2014)
- 反向传导算法 (01:30, 2 December 2016)