"Brian" is a new simulator for spiking neural networks, written in Python (http://brian.di.ens.fr). It is an intuitive and highly flexible tool for rapidly developing new models, especially networks of single-compartment neurons.
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Neural Symbolic Machines is a framework to integrate neural networks and symbolic representations using reinforcement learning, with applications in program synthesis and semantic parsing. - crazydonkey200/neural-symbolic-machines Artificial neural networks for brain networks. Contribute to jeremykawahara/ann4brains development by creating an account on GitHub. An open-source tool for sequence learning in NLP built on TensorFlow. - ufal/neuralmonkey :twisted_rightwards_arrows: Neural Network (NN) Streamer, Stream Processing Paradigm for Neural Network Apps/Devices. - nnsuite/nnstreamer Neural Network Image Classifier. Contribute to persts/Nenetic development by creating an account on GitHub. 8 Setup and Installation 2.0 Setup and Installation This section covers the download of files and documentation to facilitate the installation of the Toolkit and the operation of the NCS device.
1 Sep 2015 3.4 A Primer on Supervised Optimization for Deep Learning . Theano is a python library that makes writing deep On each learning algorithm page, you will be able to download the Φ. This transformation projects the input data into a space where it [pdf] Christian Raymond and Giuseppe Riccardi.
"Brian" is a new simulator for spiking neural networks, written in Python (http://brian.di.ens.fr). It is an intuitive and highly flexible tool for rapidly developing new models, especially networks of single-compartment neurons.
