deep learning solutions

Deep Learning As A Service

Deep Learning is developed to handle a large number of the dataset, to observe prototypes, and provide precise results. Technology Deep Learning is the subdivision of Machine Learning, but it possesses different functions and capabilities to deal with data. Deep Learning belongs to the sphere of artificial intelligence. The main goal is to examine the data and the results without human intervention by the machine.

The aspects of deep learning engineering such as sensory web-connected links and repetitive neural networks have been applied to the spheres containing:

Deep Learning

Deep Learning services and solutions suggested by our company

So, what is Deep Learning used for? ServReality offers different sets of services except Dl, and ML, that cover VR/AR development, Artificial intelligence solutions and various aspects of game development.
Picture Info Classification
Our service picture recognition prototype can identify the data attribute out of the pictures for the detailed investigation.
Object Detection in pictures
The ServReality object detection prototype suggests clients the service to determine the data attribute in the picture, namely the size, shape, form, and face.
Natural Language Processing
Our experts are capable of suggesting price-effective Deep Learning solutions and reliable for the core. Thanks to our professional Native Language experience and Artificial intelligence technology, we are ready to provide a productive user experience, data, and service solutions that help to be more engaged in the project formation.
Disruptive hi-tech
Our experts are capable of suggesting price-effective Deep Learning solutions and reliable for the core.


You will probably be interested in what is the difference between machine learning and deep learning. Deep Learning is a specific type of Machine Learning and Artificial Intelligence. Deep Learning networks can be enhanced and upgraded as the volume of the data. In technology Machine Learning, the expert should select the data elements and solutions to arrange pictures. In Deep Learning, the element removal is done automatically without human involvement. This is quite profitable and convenient for the business sphere.

Functions of Deep Learning

What can Deep Learning do? Common functions of DL as a particular field of artificial intelligence and as a kind of service are the following:

  • Recognize Faces
  • Read human-written symbols and wording
  • Identify speech
  • Interpret speech and sounds
  • Computer gaming
  • Manage the artificial self-driving machines

deep learning solutions

Deep Learning Development

ServReality is one of the top deep learning companies, whose service is to organize and handle deep learning development as a complete subdivision of artificial intelligence. It includes constructing and maintenance with deep sensory links, employing the most acceptable platforms and languages, and dealing with the most essential issues and data. When defining application areas of deep learning, crucial to say that the technology is used in major spheres. We are aware of workspaces that provide a fully configured development environment for deep learning

Artificial neural networks

Deep Neural Networks

Artificial neural networks are the automated structures motivated by the biological sensory web chains that create an animal mind. The given systems find out to perform tasks, checking the patterns, data, with no specialized programming. For business, this feature guarantees the success of the deal.

The deep neural network is a subgroup of the artificial sensory web chains with various layers at the beginning(input)and the end (output).

This type of neural network marks the proper mathematical guidance to convert the input into the output. The network alerts its position by means of crossing through the layers. Deep neural networks may compose complicated non-linear connections. In most situations, they usually direct the networks, where the data is transferred between the layers without feedbacks.

Repetitive neural networks are the set of connections, where the data is transferred in any direction, is typically applied for language planning.

Technologies Deep Learning, Artificial Intelligence, and Neural Networks serve as the methods of machine learning-formed solutions to fix the problems and check the data. In company ServReality we are suggesting deep learning support and service where the client may consult with the experts about

  • CV application
  • Chatbot development
  • Healthcare diagnostic systems
  • Analysis of a stock market, business, data

Machine learning and other improved artificial intelligence technologies are applied in cooperative situations and services where the developers and machines interact simultaneously to manage the data.

Some systems display doubtful behavior while classifying some known and unknown images according to the sorts. The problematic is primarily correlated with the inherent illustrations. Deep learning’s latest development technology focuses on the given issues.

Thanks to the advances formed in this field of artificial intelligence, our company will become more competent in the technology and provide the high-quality services, find more relevant project, business, and data solutions, dealing with numerous algorithms and challenges. A great diversity of techniques and methodologies as well as unique approach are used to improve our performance.

The most popular platforms for DL are introduced below:

  • H2O
  • Neon
  • IBM
  • Eclipse Deeplearning4j
  • Microsoft
  • Protégé
  • Accord.NET
  • Apache PredictionIO

The following languages are used for technology Deep Learning, as the form of Machine Learning:

deep learning development solutions

Deep Learning development environment

The crucial part of Deep Learning development serves the environment. The environment is formed by the applied software. In our company, some mixed software, and solutions, data arrangement may be provided for the clients to continue Deep Learning development. They are the following:

  • WebStorm
  • Phpstorm
  • Visual Studio
  • Xcode

ServReality guarantees for clients good service, instantaneous support and consulting, best product and effective solutions of technology Deep Learning, becoming a good business partner.


What is Deep Learning?
➢Deep Learning belongs to the sphere of artificial intelligence. The main goal is to examine the data and the results without human intervention by the machine.
How does Deep Learning work?
➢Artificial neural networks are the core of Deep Learning, used to process the data. Solving mathematical problems and equations, the program gradually improves itself to produce the most accurate output.
What are you developing?
➢Deep Learning products and solutions suggested by our company are the following: Picture Info Classification, Object Detection in pictures, Natural Language Processing, Disruptive hi-tech.
Where is Deep Learning used?
➢Machine learning and other improved artificial intelligence technologies are applied in cooperative situations and services where the developers and machines interact simultaneously to manage the data.
Where can I look at your cases?
➢You can look at our cases here. Top Deep Learning frameworks and high qualifications are applied when creating a personalized solution for each client.
Deep Learning

ServReality as a neural network company integrates neural networks in projects if it is required. Our deep learning company uses all modern tools to train and implement deep learning and machine learning products into the apps.

Deep learning technology is a kind of machine learning method that teaches computers to perform the actions which are similar to humans: study by example. In DL, a computer prototype studies to classify tasks from the info including images, texts, and sounds. DL models may get excellent results. The prototypes are generally learned by applying a big list of marked data, NN info that has many stages.

Firms developing neural network technology originally provide a lot of unique and useful info about this technology, importance of their application and possibility to predict necessary for business results.

We as one of deep learning AI software companies implement neural networks and AI libraries into client’s project software solutions. Our studio applies ready DL packages and transforms them to be open for customers’ development projects.

Deep learning team guides the prescribed plan of DL/ML or AI development

The following steps of creation our experts perform:

  • strategy choice
  • product investigation
  • info preparation
  • DL/ML prototypes creation

Deep learning development by our technology and software company is guaranteed to be fast, appropriate according to customers’ requirements.

Our machine learning development company shares here our algorithm on how to generate and try DL prototypes in action. There are 3 approaches of DL use to accomplish object categorization.

  • Training from the scratch
  • One should gather a big set of marked info and make a network structure that will learn the peculiarities and prototype. The period of learning takes days and weeks.

  • Transmit learning
  • Many DL apps use the transfer learning method. It works with the existing net, demands adding some unknown classes in the new info.

  • Feature extraction
  • In this case, the net is applied as a feature extractor. When the stages are busy with studying exact features from pictures, it should be required to take them out of the network and use as input to a ML prototype.

ServReality as other AI companies tries always to improve our specialists skills to develop the high standard software products for you.

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