Deep Netts Platform
Accelerates development, enables rapid deployment and offers privacy and security within the Java native environment.
What is Deep Netts platform?
We provide everything you need to build, test and deploy machine learning models in Java.
By utilizing visual tools and expert wizards to bridge the gap between software and AI development, the platform simplifies the development process, enhances productivity, and improves accuracy and understanding of machine learning (ML) models.
Pure Java software library substantially simplifies integration into existing Java applications and deployment of ML models on Java virtual machines.
What can you do with Deep Netts platform?
Discover the power and innovation behind our platform.
A user-friendly step-by-step wizard provides guidance throughout the entire process of building models.
Quickly iterate through different training settings, identify and resolve performance issues of the models.
Easily create and modify neural network architectures using an intuitive drag-n-drop tool.
Examine and interpret models through the use of visualizations which enable a deeper understanding of the model’s behavior and the underlying patterns in data.
Gain insights into model inner workings, including architecture, parameters, and training process, to comprehend how they make predictions and evaluate their performance.
Out-of-the-box support for the most commonly used models for image recognition, classification and numeric prediction.
Import trained Tensorflow models and deploy them in Java native environments.
Build and utilize machine learning (ML) models directly within Java code using intuitive API