Abstract: One embodiment provides a method, including: mining a plurality of deep-learning models from a plurality of input sources; extracting information from each of the deep-learning models, by parsing at least one of (i) code corresponding to the deep-learning model and (ii) text corresponding to the deep-learning model; identifying, for each of the deep-learning models, operators that perform operations within the deep-learning model; producing, for each of the deep-learning models and from (i) the extracted information and (ii) the identified operators, an ontology comprising terms and features of the deep-learning model, wherein the producing comprises populating a pre-defined ontology format with features of each deep-learning model; and generating a deep-learning model catalog comprising the plurality of deep-learning models, wherein the catalog comprises, for each of the deep-learning models, the ontology corresponding to the deep-learning model.

Abstract: One embodiment provides a method, including: mining a plurality of deep-learning models from a plurality of input sources; extracting information from each of the deep-learning models, by parsing at least one of (i) code corresponding to the deep-learning model and (ii) text corresponding to the deep-learning model; identifying, for each of the deep-learning models, operators that perform operations within the deep-learning model; producing, for each of the deep-learning models and from (i) the extracted information and (ii) the identified operators, an ontology comprising terms and features of the deep-learning model, wherein the producing comprises populating a pre-defined ontology format with features of each deep-learning model; and generating a deep-learning model catalog comprising the plurality of deep-learning models, wherein the catalog comprises, for each of the deep-learning models, the ontology corresponding to the deep-learning model.

Abstract: One embodiment provides a method, including: providing, at a collaborative deep learning model authoring tool, a dialog window that (i) receives user inputs discussing deep learning model aspects and (ii) provides recommendations from the collaborative deep learning model authoring tool; providing, at the collaborative deep learning model authoring tool, a consensus view indicating (i) a conflicting aspect identified as an aspect where more than one user selected a different aspect and (ii) the aspect selected for implementation within the deep learning model based upon that aspect having the most user selections; providing, at the collaborative deep learning model authoring tool, a model view displaying layers of the deep learning model based upon (i) aspects selected by the users in the dialog window and (ii) the aspect selected for implementation in the consensus view; and providing, at the collaborative deep learning model authoring tool, a deployment view that displays an execution of the deep learning m

Abstract: One embodiment provides a method, including: tracking behavior of a user when the user is providing input to a permission request of an application, wherein the permission request comprises at least one application permission requesting access for the application to information accessible by an information handling device; identifying at least one undesired application permission, wherein the identifying comprises detecting, based upon the behavior of the user, that the user is uncomfortable with the at least one undesired application permission; determining whether another similar application, having a permission set the user is comfortable with, is available, wherein the determining comprises searching for applications similar to the application and filtering the similar applications by removing applications having a permission similar to the undesired application permission; and providing a recommendation, if there is another similar application, to the user, wherein the recommendation comprises the anothe

Abstract: One embodiment provides a method, including: utilizing at least one processor to execute computer code that performs the steps of: tracking behavior of a user when the user is providing input to a permission request of an application, wherein the permission request comprises at least one application permission requesting access for the application to information accessible by an information handling device; identifying at least one undesired application permission, wherein the identifying comprises detecting, based upon the behavior of the user, that the user is uncomfortable with the at least one undesired application permission; determining whether another similar application, having a permission set the user is comfortable with, is available, wherein the determining comprises searching for applications similar to the application and filtering the similar applications by removing applications having a permission similar to the undesired application permission; and providing a recommendation, if there is ano