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DNN Platform (formerly "DotNetNuke Community Edition" content management system) is open source software distributed under an MIT License that is intended to allow management of websites without much technical knowledge, and to be extensible through a large number of third-party apps to provide functionality not included in the DNN core modules.
The company's main product is the DNN (formally DotNetNuke) Web Content Management Platform which is available in both a free Community (Platform) and subscription-based Professional and Enterprise Editions (marketed as Evoq). DNN Corp. also operates the DNN Store [3] where users purchase third-party modules and skins for the DNN CMS.
SqueezeNet was originally released on February 22, 2016. [2] This original version of SqueezeNet was implemented on top of the Caffe deep learning software framework. Shortly thereafter, the open-source research community ported SqueezeNet to a number of other deep learning frameworks.
A single Inception dimension-reduced module. The Inception v1 architecture is a deep CNN composed of 22 layers. Most of these layers were "Inception modules". The original paper stated that Inception modules are a "logical culmination" of Network in Network [5] and (Arora et al, 2014). [6]
Self-contained DNN Model Pre-processing and Post-processing Run-time configuration for tuning & calibration DNN model interconnect Common platform TensorFlow, Keras, Caffe, Torch: Algorithm training No No / Separate files in most formats No No No Yes ONNX: Algorithm training Yes No / Separate files in most formats No No No Yes
This template is transcluded in DNN (software) and List of content management systems. The current DNN (software) stable version is 9.13.6 [ 1 ] , released on 2024-11-19 [±] . ^ a b "DNN Platform Release Notes" .
DotNetNuke, also called DNN: module-based, evolved from ASP 1.0 demo applications; EGroupware, a free open source groupware software intended for businesses from small to enterprises; EtherPad, collaborative drafting with chat; Feng Office Community Edition
Deep learning is a subset of machine learning that focuses on utilizing neural networks to perform tasks such as classification, regression, and representation learning.The field takes inspiration from biological neuroscience and is centered around stacking artificial neurons into layers and "training" them to process data.