Technology is getting smarter to the point that it can mimic a human brain in providing solutions to users. With artificial neural network software, companies have their virtual brain that would act how a human mind would react to several situations through artificial neuron software. Here are some of the best AI convolutional neural network software.
18+ Artificial Neural Network Software
1. Neural Designer
2. Neuroph
3. Darknet
4. Keras
5. NeuroSolutions
6. TFlearn
7. ConvNetJS
8. Torch
9. NVIDIA DIGITS
10. DeepPY
11. DNNGraph
12. NeuraIN
13. Neural Talk2
14. Knet
15. DN2A
16. Mocha
17. HNN
18. Lasagne
19. Neon
What Is Artificial Neural Network Software?
Artificial neural network software is artificial intelligence software where humans react and process information through neural networks. The artificial neural network software is used to process information and make decisions based on the information as if a human would do in theory, which the software itself is based on a human brain.
Benefits
Artificial neural network software is beneficial as the software is based on how a human brain would react, making it incredibly intelligent to use to generate insights. The more information the artificial neural network program is being fed on, the more connections that neural networks can formulate to generate smarter insights as it learns more information. The software for artificial neural networks also gives accurate results based on a solution that a user is looking for. The artificial neural network software is also used as a basis for other artificial intelligence software such as machine learning software, image recognition software, voice recognition software, and many others.
Features
Artificial neural network software should provide a neural network based on interconnected neural components that make up and power the learning capabilities of the software. The neural network brain software should also be able to provide the backbone of the software for deep learning algorithm software. The neural network in AI software should also be able to link to data sources where neural networks get their information from.
- Establish neural network
- Interconnect neural components
- Backbone for deep learning algorithm systems
- Link data sources
Top 10 Artificial Neural Network Software
1. Torch
Torch provides scientific computing framework software that has wide support for machine learning algorithms that are easy to use. Torch7 has 25 employees and earns a revenue of $5 million.
2. Neon
Neon’s smart software relies on being fed with good data to generate good scientific results. Neon is owned and operated by Battelle, which the parent company has 5,715 employees and earns annual revenue of $484.1 million.
3. NeuraIN
NeuraIN helps companies maximize ridership with its real-life insights that enable companies to qualify demand and plan cost-effectively that can increase revenue. Neura has 30 employees and earns annual revenue of $6.1 million.
4. Lasagne
Lasagne’s simple software allows users to train neural networks remotely. Lasagne has around 25 employees and earns a revenue of $5 million.
5. Neural Designer
Neural Designer allows companies to build their artificial intelligence software that can smarten their neural networks. Neural Designer is owned and operated by Artificial Intelligence Techniques, which the parent company has around 25 employees and earns a revenue of around $5 million.
6. Mocha
Mocha’s test software is powered by JavaScript and Node makes testing a simple and fun task and allows users to test serially in a flexible platform that provides accurate results. Mocha is owned and operated by OpenJS Foundation, which the parent organization has 140 employees.
7. Darknet
Darknet’s neural networks are open-source that can be programmed with C and CUDA programming languages and it’s easy to use and install. Darknet has around 25 employees.
8. TFlearn
TFlearn’s deep learning software has high-level performing API capabilities that allow for a modular and transparent deep learning technology.
9. Neuroph
10. Neuroph’s software allows companies to improve their company’s API applications and clean them up from bugs and errors.
10. DeepPY
DeepPY’s deep learning software is powered with Phyton coding capabilities that allow users to run the software on CPU-powered devices.
FAQs
What is the alternative to artificial neural network software?
Artificial neural network software co-exists with alternate deep neural networks. What makes deep neural network software different from artificial neural network software different is that the former software has hidden layers between the input and output of the software. Developers use deep neural network software when building applications with extensive, deep learning capabilities using neural networks in artificial intelligence software.
What other software integrates well with artificial neural network software?
Artificial neural network software is often integrated with other artificial intelligence software such as deep learning software, machine learning software, natural language understanding software, image recognition software, and voice recognition software.
How much does artificial neural network software cost?
Pricing for artificial neural network software is usually customized, with each software increasing its pricing as it offers more features through subscription tiers. Pricing for artificial neural network software varies depending on the features available and the intended users. Small companies may benefit from low-cost artificial neural network software while large companies may benefit from high-cost artificial neural network software.
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