Search Results for "train"

...You don't have to be a machine learning/deep learning expert to get started. You can use your existing Java expertise as an on-ramp to learn and use machine learning and deep learning. You can use your favorite IDE to build, train, and deploy your models. DJL makes it easy to integrate these models with your Java applications. Because DJL is deep learning engine agnostic, you don't have to make a choice between engines when creating your projects. You can switch engines at any point. To ensure the best performance, DJL also provides automatic CPU/GPU choice based on hardware configuration.

With growing amount of information from multiple sources it has become very hard to relate information to the correct real life entities. Record matching software try to solve this by machine learning techniques. To do this effectively, its necessary to train the record matcher with proper test data which is identical to real life data. Hence, there is a need for a data generator to create the synthetic data to be used for evaluating the quality and capability of record matching software. A data generator creates qualitative test data considering various the real life data glitches entered through various means like human data entry, voice dictation and data scanning. ...

The alpha version description: A dynamic evaluator of mathematical expression. This project aim to teach and train for compiler and interpretor coding.

Java Kohonen Neural Network Library Kohonen neural network library is a set of classes and functions for design, train and use Kohonen network (self organizing map).

Lightweight backpropagation neural network in C++. The project provides a class implementing a feedforward neural network, and a class for easily train it. It is highly customizable to manage your problem and comes with a simple graphical interface.

Project Training System: Train all skills necessary during the development cycle of a software project. Communication between developers, testers, editors and users is technically supported by the sourceforge infrastructure. The project shall demonstrate

Training project just to train myself in OODesign and Refactoring tips.

Log4JUnit aims to help the testing (using JUnit assertions and test cases) of legacy code that gives a train on the log files it creates, and is, appart from that not very testable (due to missing sources, not testable design, etc).