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- 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)