Are you Java Developer looking to enhance your application with modern AI?
Are you confused with support for Deep Learning in Java? Have technical issues with integration into your app?
Deep Netts provides intuitive API, easy to use tools and pure Java solution which solves technical issues for your project.
Intuitive visual developer tool for deep learning that provides wizard based step by step guideance, drag n'drop network architecture builder and visual debugging.
Learn more >
Pure Java deep learning library simplifies distribution of AI models and solves technical problems with integration into existing apps, mobile and edge devices. Learn more >
Java-friendly API, base for the official Java Technology standard JSR381 for visual recognition and machine learning.
Learn more >
Classify data items, text, users, banner clicks, transactions into a set of predefined categories. The most commonly used machine learning task which can help automate manual steps, increase productivity and efficency of your business processes.
Learn MorePredict numeric values in order to make better decisions, optimize costs or resource usage. Even rough estimation is better than nothing for managing complex processes.
Learn MoreCategorize or recognize objects in images with great precission using state of the art convolutional neural networks.
Learn MoreDeep Netts is a uniquely powerful environment for modern AI development that is simultaneouy approachable, friendly, and easy to get started with for beginners, and it works with OpenJDK!
As a Java developer, I have especially come to appreciate having a tool in my language that I could immediately use out of the box and not have to add on weeks, or even months, of training
If you are a Java software developer and are looking for an ML framework that is Java-centric and is compatible with the Android operating system, I suggest you definitely consider using DeepNetts. It is a lightweight Java library, easy to learn, and solves many technical challenges related to ML.
Azul provides the world’s most trusted Java platform, delivered by the world’s most expert Java engineering team. Deep Netts provides distribution that includes embedded Azul Open JDK build for the best user experience and performance.
The JCP is the mechanism for developing standard technical specifications for Java technology. As a JCP member Deep Netts actively participates and leads the development of standard for visual recognition using machine learning.
Apache NetBeans is an open source Development Environment, Tooling Platform and Application Framework. Deep Netts uses it as a base for Deep Learning IDE and contributes to Apche NetBeans development.
This tutorial shows how to create a simple binary image classifier using a convolutional neural network, that can assign images of Java community mascot, Duke, to one of two possible categories.
This tutorial shows you how you can use Deep Netts to create visual parking lot occupancy detection using deep learning in Java.The data set contains labeled images of vacant and occupied parking spaces, extracted from the camera under different light conditions.
This tutorial demonstrates how to perform cloud image classification in Java using deep learning. Cloud image classification is important for many applications, including climate modeling, weather prediction, solar energy production, satellite imaging, satellite communication, and many others.