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Content Tagged with ai + neural
Joone - Java Object Oriented Neural Engine
ffnet
ffnet is fast and easy-to-use feed-forward neural network training solution for python. Using it you are able to train/test/save/load and use artificial neural network with sigmoid activation functions.
Unique features present in ffnet: 1. Any network connectivity without cycles is allowed (not only layered). 2. Training can be performed with use of several optimization schemes including genetic alorithm based optimization. 3. There is access to exact partial derivatives of network outputs vs. its inputs. 4. Normalization of data is handled automatically by ffnet. 5. Trained network can be exported to fortran source and compiled.
Examples with full description can be found in examples directory of the source distribution or at the project homepage.
Fast Artificial Neural Network Library
Using JOONE for Artificial Intelligence Programming
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Joone
Fast Artificial Neural Network Library
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Joone
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.
Development
Java
Programming
ai
neural
neural-network
License:LGPL
Joone
