Custom deep learning development
for your projects
Deep learning model design
Optimize deep learning algorithms
Integrate deep learning instruments and software solutions
Transform your data with QuantaCell’s deep learning design and build models
Our team of deep learning experts has a strong understanding of the latest advancements in the AI field and can provide customized solutions for your specific needs.
We offer a comprehensive deep learning development service including:
- building new deep learning models adapted to your data, constraints ,
- developing and obtimizing new deep learning architectures for fast and robust processing
- and deploying the solutions in industrial solution, instrument or web services.
Our programming languages of choice are Python for prototyping and C++ for industrial software, ensuring a smooth and efficient development process. Whether you need to develop a deep learning solution for a specific problem or are looking to integrate deep learning into your existing workflow, our team is here to help. With a focus on delivering high-quality results and exceptional customer service, we are confident that we can provide the deep learning development solution that your company needs. Don’t miss this opportunity to take advantage of the power of deep learning. Contact us today to learn more about our deep learning development services and how we can help you reach your goals.
Different steps in deep learning building
Preparing the data and the anotations
Maximize your model’s potential with QuantaCell’s comprehensive data preparation services, including data set curation and annotation
Prototyping the deep learning architecture
Quickly prototype and validate deep learning strategies with QuantaCell’s Python-powered architecture prototyping
Optimize your model to improve accuracy
Fine-tune your model’s accuracy with hyperparameter optimization, including learning rate selection, optimal optimizer selection, and neural network depth analysis
Embed in instruments or software solutions
Seamlessly integrate your deep learning solutions into your workflow with QuantaCell’s instrument and software embedding services
Cutting edge deep learning technologies are handled by QuantaCell
Python TensorFlow
TensorFlow is generally used in QuantaCell for academic and industrial applications
Python Keras
Keras is based on the top of TensorFlow to ease development work
Python PyTorch
We generally use PyTorch for basic research projects
OpenCV in Python and C++
OpenCV is used to load model learn in TensorFlow or Keras and executed
DEEPLEARNING
Deep learning service
QuantaCell specializes in providing bespoke deep learning services to integrate neural networks into your applications, perfectly adapted to your specific constraints such as modality and speed. Our offerings include:
Training custom neural networks: Our team collaborates closely with you to develop and train neural networks tailored specifically to your industrial applications. We consider your unique data, requirements, and constraints to create highly effective and efficient models. Our process includes data preprocessing, model selection, and iterative training to ensure optimal performance and adaptability to your operational environment.
Generating curated annotations: High-quality data is crucial for effective neural network training. QuantaCell provides expertly curated annotations tailored to your specific needs. Our meticulous process ensures that every data point is accurately labeled, facilitating better learning and performance of your models. We use advanced techniques to generate precise annotations, whether for complex images or large datasets, ensuring the integrity and reliability of your training data.
Optimizing neural networks: Our optimization process ensures your neural networks are robust, versatile, and highly efficient. We fine-tune your models to maximize their performance under real-world conditions, adapting them to handle diverse data types and operational constraints. This includes improving speed, accuracy, and reliability, ensuring the neural networks can effectively meet your application’s demands. Our goal is to deliver neural networks that are not only powerful but also adaptable and resilient, providing long-term value and performance.
Partner with QuantaCell to leverage advanced AI technology that enhances the functionality and efficiency of your applications.
Our values
What else we can do ?
Perform a thorough assessment of your deep learning architecture and provide recommendations for optimization
Offer guidance on how to reduce the time spent on data annotation and concentrate manual efforts on crucial scenarios
Optimize the resources involved in your neural network to enhance the speed of both learning and prediction
Tune the hyper-parameters for optimal performance on a specific GPU card to ensure that the deep learning model leverages the hardware effectively
Provide ongoing monitoring of the deep learning task to ensure it is running optimally and identify any issues that need to be addressed
QuantaCell, Campus Balard, IHU
Contact
+33 (0) 9 83 33 81 90
300 av. du Pr Emile Jeanbrau
34090 Montpellier, France