![Artificial neural networks / Machine learning / Computational neuroscience / Estimation theory / Statistical theory / Restricted Boltzmann machine / Deep learning / Boltzmann machine / Feature learning / Deep belief network / MNIST database / Likelihood function Artificial neural networks / Machine learning / Computational neuroscience / Estimation theory / Statistical theory / Restricted Boltzmann machine / Deep learning / Boltzmann machine / Feature learning / Deep belief network / MNIST database / Likelihood function](https://www.pdfsearch.io/img/0d2d3e1c1b02e475cad798fa2f53a1ce.jpg) Date: 2016-08-04 15:59:56Artificial neural networks Machine learning Computational neuroscience Estimation theory Statistical theory Restricted Boltzmann machine Deep learning Boltzmann machine Feature learning Deep belief network MNIST database Likelihood function | | NIPS 2010 Workshop on Deep Learning and Unsupervised Feature Learning, Whistler, Canada, DecemberInvestigating Convergence of Restricted Boltzmann Machine Learning Hannes SchulzAdd to Reading ListSource URL: amueller.github.ioDownload Document from Source Website File Size: 623,39 KBShare Document on Facebook
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