GitHub / dcmocanu / sparse-evolutionary-artificial-neural-networks

Always sparse. Never dense. But never say never. A Sparse Training repository for the Adaptive Sparse Connectivity concept and its algorithmic instantiation, i.e. Sparse Evolutionary Training, to boost Deep Learning scalability on various aspects (e.g. memory and computational time efficiency, representation and generalization power).

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Topics: adaptive-sparse-connectivity, artificial-neural-networks, classification, complex-networks, deep-learning, deep-learning-algorithms, deep-learning-papers, deep-neural-networks, evolutionary-algorithms, generative-models, multi-layer-perceptron, neuroevolution, randomization, restricted-boltzmann-machine, scalability, scalable-deep-learning, sparse-evolutionary-training, sparse-neural-networks, sparse-training, sparsity

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