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Independent learning encompassing the entire process of real-world work

Students can experience the entire process of data input, labeling, model training and reporting. By practicing the entire process of deep learning model training, students can quickly grasp the concepts of deep learning.

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Real-time results within a standard class period with fast model training

Through fast model training, you can check the model training results within a regular class period. 

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Practical learning with a variety of fun projects

Bring your ideas to life by running your models on a Jetson or a PC. Encourage students by displaying their work in action.

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Unlimited possibilities with multiple environments and devices

From low-spec embedded boards to CPUs and GPUs , you can apply and utilize the model on any device. Integrate your model to the desired system using the programming language of your choice.

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Reduced tack time with fast detection through optimization

During equipment setup, calculation methods are optimized to fit each equipment. Apply this technology to major manufacturing fields where tack time is crucial.

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Diverse options in model application through APIs

Accomplish more than just a simple delivery of model inference results—utilize various APIs to generate results from multiple models in creative ways.

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Auto-optimization customized
to project data

Since Neuro-T can create a model with the best performance through automatic optimization of deep learning model structure and training parameters, project managers can leave the difficult work to Neuro-T and focus on what they do best.

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Convenient maintenance with Fast-Retraining

If models require retraining due to addition or changes in training data, our Fast Retraining function can reduce the training time without compromising the performance of the existing model, enabling quick and easy maintenance.

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Low entry barrier with intuitive UX/UI

The intuitive UX/UI makes it easy for anyone to use our software. The operator can quickly learn how to use the software to apply deep learning to their project, and the manager can easily manage the project.

 

Various hyperparameter tuning

You can freely optimize models however you want by adjusting various parameters regarding the data and the overall model. Through easy GUI-based parameter searching, apply deep learning to any field of research. 

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Higher utilization of deep learning, regardless of expertise

Hardware/software configuration and coding skills are no longer necessary for deep learning. Align your team to the highest skill level with the intuitive GUI that allows researchers to focus on model training.

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The work of 3 experts in 1 software

It usually takes a team of three: a data manager, a labeler, and a model engineer. Minimize your team by managing all your tasks. One operator can fulfill the role of a three person team with Neuro-X.

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