Deep Netts9 articles

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 Network.

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

I see tremendous potential for Deep Netts in the drug discovery pipeline and I feel it is necessary to share Deep Netts existence with the scientific community.

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 in order to become proficient in another language.

Time-traveling cyborgs and robots that are able to love. These interesting and romantic ideas emerged from the imagination of Hollywood film directors.

Nevertheless, many people are afraid of Artificial Intelligence (AI). This also can be seen in the economic world.

Small and medium-sized enterprises (SMEs), in particular, see AI as a threat to their own business. Surprisingly however, all different-sized companies are able to see the potential of AI when it comes to penetrating the national and global market.

So you’re a Java developer and you want to do some machine learning.