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From Ufldl
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- 06:20, 27 February 2011 (diff | hist) Neural Networks
- 06:19, 27 February 2011 (diff | hist) Neural Networks
- 06:08, 27 February 2011 (diff | hist) m Neural Networks
- 06:07, 27 February 2011 (diff | hist) Neural Networks
- 02:43, 27 February 2011 (diff | hist) N Template:Reflist (Created page with "{{documentation subpage}} <!-- EDIT TEMPLATE DOCUMENTATION BELOW THIS LINE --> <includeonly>{{high-risk|1,700,000+}}</includeonly> {{ombox | type=notice | text = Columns are curr...") (top)
- 02:42, 27 February 2011 (diff | hist) N Reflist (Created page with "{{documentation subpage}} <!-- EDIT TEMPLATE DOCUMENTATION BELOW THIS LINE --> <includeonly>{{high-risk|1,700,000+}}</includeonly> {{ombox | type=notice | text = Columns are curr...") (top)
- 02:33, 27 February 2011 (diff | hist) UFLDL Tutorial
- 02:07, 27 February 2011 (diff | hist) UFLDL Tutorial
- 01:38, 27 February 2011 (diff | hist) Logistic Regression Vectorization Example
- 01:15, 27 February 2011 (diff | hist) Logistic Regression Vectorization Example
- 00:37, 27 February 2011 (diff | hist) Neural Networks
- 00:23, 27 February 2011 (diff | hist) UFLDL Tutorial
- 00:22, 27 February 2011 (diff | hist) N Logistic Regression Vectorization Example (Created page with "Consider training a logistic regression model using batch gradient ascent. Suppose our hypothesis is :<math>\begin{align} h_\theta(x) = \frac{1}{1+\exp(-\theta^Tx)}, \end{align}<...")
- 00:15, 27 February 2011 (diff | hist) N Vectorization (Created page with "When working with learning algorithms, very often having a faster piece of code means that you'll make progress faster on the problem. For example, if your learning algorithm ta...")
- 23:46, 26 February 2011 (diff | hist) N Sparse Autoencoder Notation Summary (Created page with "Here is a summary of the symbols used in our derivation of the sparse autoencoder: {| class="wikitable" |- ! Symbol ! Meaning |- | <math>\textstyle x</math> | Input features fo...")
- 23:42, 26 February 2011 (diff | hist) UFLDL Tutorial
- 23:41, 26 February 2011 (diff | hist) N Visualizing a Trained Autoencoder (Created page with "Having trained a (sparse) autoencoder, we would now like to visualize the function learned by the algorithm, to try to understand what it has learned. Consider the case of traini...")
- 23:40, 26 February 2011 (diff | hist) N File:ExampleSparseAutoencoderWeights.png (Example of trained weights in a sparse autoencoder.) (top)
- 23:38, 26 February 2011 (diff | hist) N Autoencoders and Sparsity (Created page with "So far, we have described the application of neural networks to supervised learning, in which we are have labeled training examples. Now suppose we have only unlabeled training ...")
- 23:36, 26 February 2011 (diff | hist) N File:KLPenaltyExample.png (Plot showing an example of the KL penalty used in the sparse autoencoder.) (top)
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