We present a series of experiments which indicate that these models show promise in solving harder learning problems that exhibit many factors of variation.

An Empirical Evaluation of Deep Architectures on Problems with Many Factors of Variation. (a) Linear model architecture. (b) Single layer neural network.

A series of experiments indicate that these models with deep architectures show promise in solving harder learning problems that exhibit many factors of ...

Here, we present a series of experi- ments which indicate that these models show promise in solving harder learning problems that exhibit many factors of ...

An Empirical Evaluation of Deep Architectures on Problems with Many Factors of Variation. (a) Linear model architecture. (b) Single layer neural network.

An empirical evaluation of deep architectures on problems with many factors of variation. Hugo Larochelle · Dumitru Erhan. Aaron Courville. James Bergstra.

Aug 9, 2007 · An Empirical Evaluation of Deep Architectures on Problems with Many Factors of Variation. Introduction and motivation. Introduction. Recently ...

An empirical evaluation of deep architectures on problems with many factors of variation.

An empirical evaluation of deep architectures on problems with many factors of variation. H Larochelle, D Erhan, A Courville, J Bergstra, Y Bengio.

2009. An empirical evaluation of deep architectures on problems with many factors of variation. H Larochelle, D Erhan, A Courville, J Bergstra, Y Bengio.