DNN tracking and usage
Websites using DNN by countrymarket share
19%
🇺🇸US3.7%
🇳🇱NL2.9%
🇮🇹IT2.6%
🇩🇪DE2.2%
🇬🇧GB1.9%
🇨🇭CH1.7%
🇻🇳VN1.7%
🇨🇦CAWebsites using DNN by industrymarket share · top 6 industries
Sports
Education
Technology & Computing
Shopping
Construction
Medical & Healthcare
0%6.3%13%19%25%
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We track 34,794 websites using DNN, along with their country, traffic, industry and platforms. There are 6,745 websites using DNN in United States.
Filter by country
🇺🇸 United States6,745 sites
🇳🇱 Netherlands1,291 sites
🇮🇹 Italy1,015 sites
🇩🇪 Germany895 sites
🇬🇧 United Kingdom765 sites
🇨🇭 Switzerland649 sites
🇻🇳 Viet Nam601 sites
🇨🇦 Canada595 sites
🇦🇺 Australia557 sites
🇧🇪 Belgium484 sites
🇮🇷 Iran, Islamic Republic of444 sites
🇳🇴 Norway336 sites
🇳🇿 New Zealand290 sites
🇸🇮 Slovenia280 sites
🇫🇷 France254 sites
🇯🇵 Japan249 sites
🇿🇦 South Africa225 sites
🇩🇰 Denmark223 sites
🇬🇷 Greece202 sites
🇭🇷 Croatia194 sites
🇷🇺 Russian Federation188 sites
🇵🇹 Portugal170 sites
🇪🇸 Spain169 sites
🇸🇪 Sweden157 sites
🇦🇹 Austria139 sites
🇨🇳 China113 sites
🇵🇱 Poland109 sites
🇲🇽 Mexico106 sites
🇨🇿 Czechia99 sites
🇹🇷 Turkey95 sites
🇮🇪 Ireland84 sites
🇮🇳 India59 sites
🇹🇭 Thailand58 sites
🇮🇱 Israel56 sites
🇱🇮 Liechtenstein51 sites
🇨🇴 Colombia35 sites
🇫🇮 Finland32 sites
🇷🇴 Romania30 sites
🇸🇬 Singapore28 sites
🇧🇷 Brazil27 sites
🇨🇷 Costa Rica24 sites
🇨🇾 Cyprus24 sites
🇦🇪 United Arab Emirates22 sites
🇪🇨 Ecuador20 sites
🇩🇴 Dominican Republic19 sites
🇯🇴 Jordan18 sites
🇹🇹 Trinidad and Tobago18 sites
🇦🇷 Argentina18 sites
🇴🇲 Oman17 sites
🇭🇺 Hungary17 sites
🇲🇾 Malaysia15 sites
🇪🇪 Estonia14 sites
🇮🇩 Indonesia13 sites
🇸🇰 Slovakia13 sites
🇨🇱 Chile13 sites
🇧🇬 Bulgaria12 sites
🇸🇦 Saudi Arabia12 sites
🇪🇬 Egypt11 sites
🇹🇼 Taiwan, Province of China11 sites
🇷🇸 Serbia11 sites
🇧🇦 Bosnia and Herzegovina10 sites
🇵🇷 Puerto Rico10 sites
🇱🇺 Luxembourg9 sites
🇭🇰 Hong Kong9 sites
🇺🇦 Ukraine8 sites
🇪🇹 Ethiopia8 sites
🇻🇬 Virgin Islands, British7 sites
🇶🇦 Qatar7 sites
🇳🇬 Nigeria7 sites
🇱🇹 Lithuania7 sites
🇵🇰 Pakistan6 sites
🇵🇪 Peru6 sites
🇲🇩 Moldova, Republic of5 sites
🇵🇦 Panama5 sites
🇦🇱 Albania5 sites
🇺🇾 Uruguay4 sites
🇬🇪 Georgia4 sites
🇵🇭 Philippines4 sites
🇮🇸 Iceland4 sites
🇬🇱 Greenland4 sites
🇯🇲 Jamaica4 sites
🇲🇦 Morocco4 sites
🇵🇸 Palestine, State of4 sites
🇸🇱 Sierra Leone4 sites
🇦🇴 Angola4 sites
🇬🇺 Guam3 sites
🇮🇶 Iraq3 sites
🇰🇷 Korea, Republic of3 sites
🇬🇹 Guatemala3 sites
🇱🇻 Latvia3 sites
🇨🇺 Cuba2 sites
🇰🇼 Kuwait2 sites
🇲🇰 North Macedonia2 sites
🇬🇭 Ghana2 sites
🇹🇳 Tunisia2 sites
🇻🇮 Virgin Islands, U.S.2 sites
🇸🇽 Sint Maarten (Dutch part)2 sites
🇰🇾 Cayman Islands2 sites
🇰🇪 Kenya2 sites
🇳🇨 New Caledonia2 sites
🇱🇨 Saint Lucia2 sites
🇱🇰 Sri Lanka2 sites
🇲🇹 Malta2 sites
🇹🇿 Tanzania, United Republic of2 sites
🇰🇬 Kyrgyzstan2 sites
🇭🇳 Honduras2 sites
🇸🇷 Suriname2 sites
🇱🇧 Lebanon2 sites
🇿🇼 Zimbabwe2 sites
🇦🇸 American Samoa1 sites
🇺🇬 Uganda1 sites
🇬🇩 Grenada1 sites
🇲🇴 Macao1 sites
🇦🇿 Azerbaijan1 sites
🇦🇲 Armenia1 sites
🇧🇧 Barbados1 sites
🇳🇮 Nicaragua1 sites
🇧🇲 Bermuda1 sites
🇸🇳 Senegal1 sites
🇩🇿 Algeria1 sites
🇻🇨 Saint Vincent and the Grenadines1 sites
🇻🇪 Venezuela, Bolivarian Republic of1 sites
🇯🇪 Jersey1 sites
🇨🇬 Congo1 sites
🇿🇲 Zambia1 sites
🇧🇳 Brunei Darussalam1 sites
🇬🇼 Guinea-Bissau1 sites
🇲🇿 Mozambique1 sites
🇧🇾 Belarus1 sites
🇺🇿 Uzbekistan1 sites
🇧🇿 Belize1 sites
🇵🇾 Paraguay1 sites
🇸🇧 Solomon Islands1 sites
🇹🇲 Turkmenistan1 sites
🇧🇴 Bolivia, Plurinational State of1 sites
🇲🇷 Mauritania1 sites
About DNN
DNN is a software company based in San Mateo, CA. It was founded in 2006. It offers a sophisticated Content Management System (CMS) to help its users create impressive UI. The system is designed to offer simplicity along with a rich set of features. It comes with a well-developed ecosystem and offers extensibility as well. DNN is available as a free trial. DNN places a strong emphasis on security in the different stages of the development life cycle for products. It offers scope for ease of user management and workflows. It helps with multi-site management and offers flexibility. It is commonly used by marketers and IT managers.
Category
Official website
dnnsoftware.com↗
Websites using DNN
showing 25 of 34,794| Website | Country | Traffic | Industry |
|---|---|---|---|
| 🇺🇸US | Top 5K | Aerospace & Defense | |
| 🇺🇸US | Top 5K | Aerospace & Defense | |
| 🇺🇸US | Top 5K | Law & Government | |
| 🇺🇸US | Top 10K | Hardware & Electronics | |
| 🇨🇳CN | Top 50K | Science | |
| 🇺🇸US | Top 50K | Education | |
| 🇨🇿CZ | Top 50K | Technology & Computing | |
| 🇨🇳CN | Top 50K | Manufacturing & Industrial | |
| 🇺🇸US | Top 50K | Software Development | |
| 🇨🇳CN | Top 50K | - | |
| 🇨🇦CA | Top 50K | Telecommunications | |
| 🇹🇭TH | Top 50K | Energy & Utilities | |
| 🇨🇳CN | Top 50K | - | |
| 🇨🇳CN | Top 50K | Science | |
| 🇺🇸US | Top 50K | Non-profit & Charity | |
| 🇨🇳CN | Top 50K | - | |
| 🇺🇸US | Top 50K | Aerospace & Defense | |
| 🇻🇳VN | Top 50K | Education | |
| 🇵🇹PT | Top 50K | Sports | |
| 🇺🇸US | Top 50K | Non-profit & Charity | |
| 🇬🇧GB | Top 50K | Business & Finance | |
| 🇮🇩ID | Top 50K | Banking | |
| 🇬🇷GR | Top 50K | Education | |
| 🇺🇸US | Top 50K | Software Development | |
| 🇺🇸US | Top 50K | Aerospace & Defense |
Showing 25 of 34,794 websitesView detailed list →
Frequently asked
What is a DNN (Deep Neural Network)?›
A DNN (Deep Neural Network) is a type of artificial neural network that consists of multiple interconnected layers of nodes or neurons, designed to learn representations of data by mimicking the human brain's pattern recognition functionality. These networks can automatically learn to represent complex features and patterns in large datasets through multiple layers of abstraction, enabling them to solve various machine learning and artificial intelligence problems.
What are the main components of a DNN?›
The main components of a DNN are the input layer, hidden layers, and output layer. The input layer receives the features of the dataset, the hidden layers perform complex transformations and feature extraction, and the output layer provides the final prediction or classification. Each neuron in the network is associated with a set of weights and biases that are adjusted during the learning process to minimize the network's error rate or maximize accuracy.
What types of problems can DNNs solve?›
DNNs can solve a wide range of problems, including image and speech recognition, natural language processing, recommender systems, game playing, and autonomous vehicles. They are particularly effective in capturing intricate details and patterns in large high-dimensional data, which makes them a popular choice for dealing with complex data-driven tasks.
How do DNNs learn from data?›
DNNs learn from data through a process called backpropagation. During this process, the network's output is compared to the actual target value or ground truth, and the difference or error is calculated. Then, the error is propagated backwards through the network, and the weights and biases associated with each neuron are updated to minimize the overall error. This learning process continues iteratively, usually with multiple epochs, until the model reaches an acceptable level of accuracy or the error converges.
What are the key challenges when working with DNNs?›
Some key challenges when working with DNNs include high computational demands, overfitting, and the need for large datasets. DNNs often require powerful hardware, such as GPU accelerators, to handle computationally intensive tasks like training and inference. Overfitting occurs when a model learns to represent noise or irrelevant patterns in the data, leading to poor generalization on unseen data. Lastly, DNNs typically require large amounts of annotated data to perform well, which may be difficult to acquire for certain applications.
