Autoencoders and Sparsity
From Ufldl
m |
|||
| Line 1: | Line 1: | ||
| - | So far, we have described the application of neural networks to supervised learning, in which we | + | So far, we have described the application of neural networks to supervised learning, in which we have labeled |
training examples. Now suppose we have only unlabeled training examples set <math>\textstyle \{x^{(1)}, x^{(2)}, x^{(3)}, \ldots\}</math>, | training examples. Now suppose we have only unlabeled training examples set <math>\textstyle \{x^{(1)}, x^{(2)}, x^{(3)}, \ldots\}</math>, | ||
where <math>\textstyle x^{(i)} \in \Re^{n}</math>. An | where <math>\textstyle x^{(i)} \in \Re^{n}</math>. An | ||
