Deep Netts

11 articles in this category.

Most Java teams who want a machine learning model in production end up standing up a Python service and calling it over HTTP. That works, …

Jefferson Lab is leveraging Java-based AI to overcome one of the most computationally intense challenges in modern science.

Every conference has several talks about these technologies, and on Foojay, you can find multiple posts about it. Let's take a look at it …

In this podcast, we are talking to some of the key people working on different IDEs, Integrated Development Environments.

For more complex deep learning challenges, more data, and need better performance, take a look at Deep Netts Professional Edition.

Learn how to make it easy to quickly start using deep learning and to integrate deep learning into existing Java applications.

We use the Deep Netts library to implement our neural networks to do track classification, using Multi-Layer Perceptron (MLP) Neural …

Learn about Deep Netts, a lightweight Java-native library, easy to learn, and solves many technical challenges related to ML.

Tremendous potential for Deep Netts in the drug discovery pipeline and it is necessary to share its existence with the scientific community!

Jun 2, 2021 Nguyen Pham

The goal of this research is to sensitize small and medium-sized enterprises (SMEs) to the topic of AI with the help of Open Source Tools.