Artificial intelligence may start from human interference, but they continue to provide smart solutions without the need for assistance. With deep learning software, it can develop smarter solutions that can mimic a smart human’s brain in providing solutions for whatever applicable situation. Here are some of the best software offered by deep learning software companies that are available right now.

10+ Deep Learning Software

1. NVIDIA Developer

nvidia developer

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Rating: 4.3/5

Price: Custom

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2. Wolfram Mathematica

wolfram mathematica

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Rating: 5/5

Price: $1,480/year

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3. MIPAR

mipar

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Rating: 4.2/5

Price: Custom

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4. Amplifire

amplifire

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Rating: 5/5

Price: Custom

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5. H2O.ai

h2o

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Rating: 5/5

Price: Free

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6. Valohai

valohai

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Rating: 4.8/5

Price: $649/Month

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7. Prime AI

prime ai

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Rating: 5/5

Price: Custom

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8. Lt for labs

lt for labs

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Rating: 5/5

Price: Custom

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9. Peltarion

peltarion

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Rating: 5/5

Price: $58/Month

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10. cnvrg.io

cnvrg

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Rating: 5/5

Price: Free

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11. MLS

mls

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Rating: 4/5

Price: $299/Month

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What Is Deep Learning Software?

Deep learning software is a machine learning software that enables the software deeply to learn large sets of data and generate solutions and actions based on the data given. This artificial intelligence software can automate its learning capacity well, enabling the software to provide smart solutions based on the data given.

Benefits

Deep learning software allows users to use artificial intelligence to generate predictions and make decisions based on the available data provided to the machine learning system with its automation tools. With the deep learning software development platform connecting to a data source, the deep learning software can learn to generate smarter solutions and adapt to ever-changing circumstances over time. Because of the patterns learned in the deep learning software architecture, it can detect a pattern of inference thanks to the data being fed to the software and its easy detection of patterns. The software can be seen in everyday apps, making it surprisingly a useful app to use on capacity.

Features

Deep learning software should be able to provide a smart algorithm system that learns to generate solutions based on fed data as well as its adaptation to ever-changing circumstances and data. Deep learning in automotive software should also be used as a source of intelligent learning techniques in various applications that rely on algorithms for content curation. The software should also be able to process data input from various data sources. The software should also be able to provide an outline that provides solutions to resolve issues based on learned data.

  • Smart algorithm system
  • Generate smart solutions based on learned data
  • Source of intelligent learning techniques
  • Integrate various application software
  • Process data from sources
  • Resolve issues based on learned data

Top 10 Deep Learning Software

1. MLS

MLS provides digital learning software for German companies and users to manage their deep learning systems. MLS is owned and operated by Nachwuchsstiftung Maschinenbau, which the parent company has 40 employees.

2. NVIDIA Developer

NVIDIA Developer gives developers a wide range of development tools to improve their deep learning system. NVIDIA has 18,242 employees and earns annual revenue of $24.3 billion.

3. H2O.ai

H2O.ai provides companies with smart data science software that provides an AI hybrid cloud software that powers their machine learning system effectively. H2O.ai has 341 employees and earns annual revenue of $607 million.

4. Wolfram Mathematica

Wolfram Mathematica provides users with modern technical computing software that gives smart computing solutions thanks to its deep learning feature. Wolfram has 678 employees and earns annual revenue of $98.3 million.

5. Lt for labs

Lt for labs allows science teachers to engage with their students with its smart online learning software that helps them train for science experiments. Lt for labs is owned and operated by Ad Instruments, which the parent company has 266 employees and earns annual revenue of $41.2 million.

6. Amplifire

Amplifire provides eLearning software that allows companies to power their brain science. Amplifire has 83 employees and earns annual revenue of $13.7 million.

7. cnvrg.io

cnvrg.io provides machine learning software that is end-to-end and allows users to deploy artificial intelligence models and scale them. Cnvrg.io has around 25 employees and earns a revenue of around $5 million.

8. MIPAR

MIPAR provides a simple yet powerful image analysis software that allows users to analyze images effectively. MIPAR has around 25 employees and earns a revenue of around $5 million.

9. Valohai

Valohai helps companies to train, evaluate and deploy their MLOps assets that can automate data extraction and model deployment. Valohai has 19 employees and earns annual revenue of $2.8 million.

10. Prime AI

Prime AI provides fashion companies with smart deep learning software that helps them create clothes based on apparel trends in the industry.

FAQs

What kind of algorithms does deep learning software offer?

Deep learning software provides various smart algorithms such as machine learning, association rule learning, decision tree learning, genetic algorithms, learning classifier software, and many more. Many of these algorithms can recognize patterns which the software is set to identify specific patterns according to the parameters set by its administrators.

How much human training is needed for deep learning software?

While human learning is necessary for deep learning software, the software must be left unsupervised as much as possible so the software can independently generate smart solutions through deep learning algorithms.

How much does deep learning software cost?

Pricing for deep learning software can range from free to $1,480 per year or more, with each software increasing its pricing as it offers more features through subscription tiers. Pricing for deep learning software varies depending on the features available and the intended users. Small companies may benefit from low-cost deep learning software while large companies may benefit from deep learning software.

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