SigmaPi is a simulator for recurrent neural networks of arbitrary topology. It uses the LSTM neuron model, and implements a training algorithm based on RTRL with some extensions taken from RProp.
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이 버전은 초기에 컬러 코드 오류를 표시 중지를 소개합니다. 그것은 버전 0.1 및 0.2과 같은 이중 정밀도 부동 소수점 숫자를 사용합니다. 또한 일부 버그가 수정되었습니다.
Tags:
Minor feature enhancements
This version introduces early stopping and colour-encoded error displays. It uses double-precision floating point numbers like version 0.1 and 0.2. Some bugs were also fixed.
다른 연결 유형 옵션이 추가되었습니다와 동시에 뉴런에 연결합니다. 선택한 파일을 직접 연결에서 업로드 알고리즘을 설정 옵션이 추가되었습니다. 상태 표시줄에 추가되었습니다.
Tags:
Minor feature enhancements
An option to connect neurons with different
connection types simultaneously was added. An
option to upload algorithm settings from a file
directly to a selected connection was added. A
statusbar was added.
