Deep learning development services

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Deep Learning Services and Solutions

Deep learning offers fast and reliable solutions to tedious tasks. Check out the services that we provide:

Predictive Analysis

Deep learning algorithms ups the game of making predictions with great accuracy. Neural network architectures are used to identify new trends and patterns in historical data which helps to predict future outcomes and trends. Deep learning is known to detect the most subtle and complex relationships in the data with high precision.

Text processing

Textual analysis is one of the most widely used applications of deep learning. It is the key to teach machines to interact like humans by making them comprehend the contextual meaning from a text. This is an active field of research in deep learning. Many word embeddings have been developed like Glove, Word2Vec, BERT that helps a deep learning model to capture the semantic, syntactic context of a word/phrase or sentence.This technology is rapidly improving the quality of text processing techniques like text summarisation, translation, generation, sentiment analysis, spell checker, plagiarism checker etc.

Image processing

Deep learning uses neural networks like CNN to learn useful and important features directly from the images which helps to extract necessary information from them and helps to achieve the objective of smoothly processing images.

Recommendation systems

Recommendation systems have been highly benefited by incorporating deep learning methods. State-of-art systems have been developed that are being used by huge platforms like Youtube, Netflix, Amazon etc. Deep learning recommendation systems have outperformed the traditional ones as they can handle nonlinear and complex data efficiently.

Anomaly detection

Identifying the data points that don't follow the normal pattern with super accuracy and high precision is possible with deep learning methods. This is being used to detect temperature anomalies, anomalies in stock market trends and medical diagnosis, fraud detection etc. with the use of autoencoders, variational autoencoders, GANs etc.

Security and Surveillance

Deep learning algorithms provide an edge to security surveillance by predicting malicious activity and risks by analysing outliers in the data. Security surveillance is a very tedious and laborious job and at times humans fail to prevent mishaps due to their physical and mental limitations. Automating surveillance becomes crucial to always be prepared to deal with obstacles and deep learning systems offer the much needed reliability, speed, precision and accuracy for these tasks

Healthcare

Health sector is being rapidly influenced by the use of deep learning to automate healthcare. Deep learning is being used for a number of applications in the health sector to detect a number of diseases and to monitor patients’ health. It is successfully and accurately aiding the doctors in reducing their workload and providing accurate diagnosis.

Agriculture

In recent times, deep learning models in combination with computer vision and robotics are gaining popularity in the agricultural domain to monitor food production and to detect diseases in plants etc. These models provide high-accuracy results and, in most cases, surpass traditional image processing techniques.

Traffic monitoring

Deep learning models are more accurate at predicting road traffic conditions as compared to traditional machine learning and statistical techniques by analysing historical data and identifying the impact made by various features such as time of day, weather, holidays etc.

Self-driving cars

Cars can be made to drive automatically with the help of supervised machine learning using deep learning networks such as CNN. The car becomes able to recognise traffic signals and signs, other vehicles, lanes, objects on the road etc by feeding images from the camera to the program/deep learning algorithm, the car learns by example/imitation instead of following a set of pre-programmed instructions.

Virtual assistance/chatbots

These are AI driven tools that attempt to blur the boundaries between humans and machines by making use of deep learning algorithms.Virtual assistants like Siri, Alexa, Cortana, Google Assistant, etc., are all very popular applications of Deep Learning. Each interaction with them makes them learn more about the requirements and, therefore, enables them to provide a near perfect experience of interaction.

Deep learning Developers expertise

Deep learning is a subset of machine learning that teaches computers to think and learn like humans by making use of neural networks. Like any other machine learning model deep learning works by analysing the data to find patterns in order to identify mappings to the target but what sets it apart is that it is structured after the human brain itself. It provides great results with less human intervention.

Here at Sofstacks we have a team of vetted deep learning experts who are well versed with deep learning algorithms and techniques.


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Platforms We Work on

Tensorflow

Keras

Pytorch

Python

Pandas

SKLearn

Open CV

Docker

Key Highlights

We have experienced and vetted engineers who are consistently working on developing deep learning services. We provide high end and efficient services to our clients which are tailored to their business requirements and delivered in time. We also provide maintenance support on our services.


  • Save Cost on development
  • NDA Signed to ensure complete privacy
  • First Time Right to get correct output in first go
  • Quick Team Scaling for hassle-free team management
  • Agile/DevOps Process to Save Time & Cost
  • Complete Source Code Authorization
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Deep Learning Application Work

As a Deep Learning services provider our aim is to bring the innovations and technology home to our clients. Our aim is to help businesses do more with AI, and now is a good time to start

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