JavaNNS is the successor of SNNS. It is based on its computing kernel, with a newly developed, comfortable graphical user interface written in Java set on top of it. Hence the compatibility with SNNS is achieved, while the platform-independence is increa
If you are starting with Neural Networks you should check out my online book on the subject. It contains over 300 pages of information on Neural Network Programming in Java. You can access it here.
TensorFlow™ is an open source software library for numerical computation using data flow graphs. Nodes in the graph represent mathematical operations, while the graph edges represent the multidimensional data arrays (tensors) communicated between them. The flexible architecture allows you to deploy computation to one or more CPUs or GPUs in a desktop, server, or mobile device with a single API. TensorFlow was originally developed by researchers and engineers working on the Google Brain Team within Google's Machine Intelligence research organization for the purposes of conducting machine learning and deep neural networks research, but the system is general enough to be applicable in a wide variety of other domains as well.
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E. Izhikevich. IEEE transactions on neural networks / a publication
of the IEEE Neural Networks Council, 14 (6):
1569--1572(November 2003)Yaeger references this article The following figure
summarizes the model, and it is available in pdf, gif,
bmp, and eps formats. Hereby you are granted the
permission to freely use this figure in your
publications provided that (1) You add the line
Electronic version of the figure and reproduction
permissions are freely available at www.izhikevich.com
to your paper and (2) you send me a copy of your paper
when it is published..
L. Yaeger. Artificial Life III, Vol. XVII of SFI Studies in the
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X. Hu, W. Liu, J. Bian, and J. Pei. Proceedings of the 26th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, page 1521--1531. (2020)