Codersarts offers the best Deep Learning Engineers who are well versed with the required skills like frameworks, algorithms, tools, and programming languages to develop industry-specific Deep Learning solutions and knowledge to complete your team. Our Deep Learning Engineers are experts in understanding the client requirement to support Deep Learning solutions.
Deep learning offers fast and reliable solutions to tedious tasks. Check out the services that we provide:
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.
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.
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 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.
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.
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
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.
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.
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.
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.
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.
We use best-in-class tools, state-of-the-art technologies and modern approaches to scale up your business
A Sofstack director of engineering will work with you to understand your goals, technical needs, and team dynamics.
Within days, we'll introduce you to the right Deep Learning engineer for your project. Average time to match is under 24 hours.
Work with your new Deep Learning engineer for a trial period (pay only if satisfied), ensuring they're the right fit before starting the engagement.
We have highly qualified, experienced, talented Computer vision expert and domain experts to ensure client requirements
Best price offers for Computer vision solutions. Price depends on various factors like deadline, complexity & number of hours work required.
We value the time of our clients. Our expert team will provide the Best solution on time.
All your project ideas and client-related data are always kept safe from third-party access with our strict non-disclosure agreement policy
Connect expert through email, Website chat, Codersarts Dashboard(Order tracking) and Google Meet for update and query.
Choose the engagement type that suits your needs — hourly, part-time, or full-time — with the ability to change anytime.
We have experienced and vetted engineers who are consistently working on Ai & 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.