Distribution of p-values when comparing two means. P Summers | Authorea. Sparrho | Latest Applications of Deep Learning. Learning Informative Features from Restricted Boltzmann Machines Abstract: Abstract In recent years deep learning paradigm achieved important empirical success in a number of practical applications such as object recognition, speech recognition and natural language processing.
A lot of effort has been put on understanding theoretical aspects of this success, however, still there is no common view on how deep architectures should be trained and thus many open questions remain. One hypothesis focuses on formulating good criterion (prior) that may help to learn a set of features capable of disentangling hidden factors. Following this line of thinking, in this paper, we propose to add a penalty (regularization) term to the log-likelihood function that enforces hidden units to maximize entropy and to be pairwise uncorrelated, for given observables.
Pub.: 01 Dec '16, Pinned: 07 Dec '16. Docollab | Features. Search, sort and filter With Docollab you can quickly find the content you are looking for. You can search by keywords and labels, filter your results by ownership and date, and sort them by name or date. Docollab projects help you organize your work and track overall progress Organize projects Docollab lets you organize your content in folders. Manage notebooks You can create notebooks in your projects and import existing notebooks. Manage tasks Project tasks can be assigned to any member of that project. Share projects As a project owner, you can add and remove members. Docollab notebooks help you take notes and document your work Rich text editing Docollab notebooks support a range of rich text capabilities. Table editing Aside of the tables which can be embedded in rich text sections, data tables provide a spreadsheet-like way to write and view tabular data, and support copy-paste operations from/to Excel and similar programs.
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