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Joone (Java Object Oriented Neural Engine) is an artificial neural network Java framework. It is used to build and train neural networks with a powerful visual environment. It has a modular design and can be easily extended by writing new modules to implement new learning algorithms or architectures.

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2007-01-19 01:41 Back to release list
2.0.0 RC1

성능은 50 %, 핵심 엔진의 무거운 리팩터링 덕분에, 단일 스레드 모드를 추가하여 향상되었습니다. 하기 위해서는 API의 복잡성을 숨기는 도구 세트가 추가되었습니다. / O를 구성 요소의 순서를 직접 읽고 쓰기가 추가되었습니다 새 이미지 난 / 이미지 파일을합니다. 새로운 SoftMax 계층 신경망 1 C 구분의 문제를 해결할 수있는 빌드에 추가되었습니다. 속성 패널의 유용성 및 영상 캘린더 패널에 새 파일 선택기 패널을 채택하여 향상되었습니다. 몇 가지 버그가 수정되었습니다 설명서의 새로운 기능이 업데이 트되었습니다.
Tags: Major feature enhancements
Performance was improved by 50%, thanks to heavy refactoring of the core engine, by adding the single-thread mode. A set of tools was added in order to hide the complexity of the API. A new Image I/O component has been added in order read and write directly from/to image files. A new SoftMax Layer has been added to build neural networks able to resolve 1 of C classification problems. The usability of the property panels has been improved by adopting a new file chooser panel and a visual calendar panel. Several bugs were fixed and the documentation has been updated with the new features.

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