Our platform is designed to lower the barrier to entry for adopting AI to solve real-world problems. All you need is to provide the data and our platform handles the rest.
Our platform turns a complex model design into a simple selection process. Model training performance is optimized with smart parameter tuning and system configurations.
Our platform automatically tunes hyper-parameters for your model training task, which effectively shortens the total time for building a good model.
Develop a good AI model without facing steer learning curve of deep learning. Simply upload the labeled data and you get the model.
Focus on model design and problem solving rather tedious model training details e.g. hyper-parameters tuning and configuring training environment.
Simply upload your dataset.
That’s the only thing you need to prepare.
Pick a model according to your requirements. Get a coffee and DeepQ handles the training job and bring you a good model.
Classify wafer failure pattern shown in an image.
811,457 wafer map (20% dataset labeled by domain experts)
0.9657 by Inception V4 model
An automated analysis system is created, which can assign a score based 0–4.
*0—No DR 1—Mild 2—Moderate 3—Severe 4—Proliferative DR.
0.768 within top 3%
Start a model training task with two steps only. User just needs to provide labeled data and choose a pre-defined model that fits his own requirements.
Get good model faster by automatically adjusting model training parameters. It saves user's time for tedious, trial-and-error hyper-parameter tuning process.
Keep deep learning system up-to-dated and optimized for performance. User doesn’t have to spend time on system configurations and performance tuning.
Design your own neural network in drag-and-drop way.
Provide AI solutions for more problem domains.
Improve model training accuracy with limited training data.
DeepQ AI Machine edition helps you to start AI training on a local machine. Contact us If you are interested in our AI Machine edition.