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).
파일 탐색기
최종 버전 다운로드 (.zip)- dense_mlp_srelu_sgd_cifar10_acc.txt
- fixprob_mlp_srelu_sgd_cifar10_acc.txt
- set_mlp_srelu_sgd_cifar10_acc.txt
- cifar10_models_performance.pdf
- dense_mlp_keras_cifar10.py
- fixprob_mlp_keras_cifar10.py
- plot_performance.py
- set_mlp_keras_cifar10.py
- lung.mat
- mlp_fixprob.txt
- set_mlp.txt
- fixprob_mlp_sparse_data_structures.py
- set_mlp_sparse_data_structures.py
- sparseoperations.c
- sparseoperations.cpython-35m-x86_64-linux-gnu.so
- sparseoperations.html
- sparseoperations.pyx
- COIL20.mat
- rbm_fixprob.txt
- set_rbm.txt
- fixprob_rbm_sparse_data_structures.py
- set_rbm_sparse_data_structures.py
- sparseoperations.c
- sparseoperations.cpython-35m-x86_64-linux-gnu.so
- sparseoperations.html
- sparseoperations.pyx
- fashion_mnist_connections_evolution_per_input_pixel_rand0.gif
- fc_mlp_2000_training_samples_rand0.txt
- fc_mlp_2000_training_samples_rand1.txt
- fc_mlp_2000_training_samples_rand2.txt
- fc_mlp_2000_training_samples_rand3.txt
- fc_mlp_2000_training_samples_rand4.txt
- fixprob_mlp_2000_training_samples_e13_rand0.txt
- fixprob_mlp_2000_training_samples_e13_rand1.txt
- fixprob_mlp_2000_training_samples_e13_rand2.txt
- fixprob_mlp_2000_training_samples_e13_rand3.txt
- fixprob_mlp_2000_training_samples_e13_rand4.txt
- mnist_learning_curves_samples2000.pdf
- set_mlp_2000_training_samples_e13_rand0.txt
- set_mlp_2000_training_samples_e13_rand0_input_connections.npz
- set_mlp_2000_training_samples_e13_rand1.txt
- set_mlp_2000_training_samples_e13_rand1_input_connections.npz
- set_mlp_2000_training_samples_e13_rand2.txt
- set_mlp_2000_training_samples_e13_rand2_input_connections.npz
- set_mlp_2000_training_samples_e13_rand3.txt
- set_mlp_2000_training_samples_e13_rand3_input_connections.npz
- set_mlp_2000_training_samples_e13_rand4.txt
- set_mlp_2000_training_samples_e13_rand4_input_connections.npz
- mnist_learning_curves_samples2000.pdf
- fc_mlp.py
- fixprob_mlp.py
- plot_input_layer_connectivity.py
- plot_learning_curve.py
- set_mlp.py
- sparseoperations.c
- sparseoperations.html
- sparseoperations.pyx
- sparseoperations.so
- fashion_mnist.npz
- fashion_mnist_connections_evolution_per_input_pixel_rand0.gif
- fc_mlp_2000_training_samples_rand0.txt
- fc_mlp_2000_training_samples_rand1.txt
- fc_mlp_2000_training_samples_rand2.txt
- fc_mlp_2000_training_samples_rand3.txt
- fc_mlp_2000_training_samples_rand4.txt
- fixprob_mlp_2000_training_samples_e13_rand0.txt
- fixprob_mlp_2000_training_samples_e13_rand1.txt
- fixprob_mlp_2000_training_samples_e13_rand2.txt
- fixprob_mlp_2000_training_samples_e13_rand3.txt
- fixprob_mlp_2000_training_samples_e13_rand4.txt
- mnist_learning_curves_samples2000.pdf
- set_mlp_2000_training_samples_e13_rand0.txt
- set_mlp_2000_training_samples_e13_rand0_input_connections.npz
- set_mlp_2000_training_samples_e13_rand1.txt
- set_mlp_2000_training_samples_e13_rand1_input_connections.npz
- set_mlp_2000_training_samples_e13_rand2.txt
- set_mlp_2000_training_samples_e13_rand2_input_connections.npz
- set_mlp_2000_training_samples_e13_rand3.txt
- set_mlp_2000_training_samples_e13_rand3_input_connections.npz
- set_mlp_2000_training_samples_e13_rand4.txt
- set_mlp_2000_training_samples_e13_rand4_input_connections.npz
- mnist_learning_curves_samples2000.pdf
- fc_mlp.py
- fixprob_mlp.py
- plot_input_layer_connectivity.py
- plot_learning_curve.py
- set_mlp.py
- sparseoperations.c
- sparseoperations.cpython-35m-x86_64-linux-gnu.so
- sparseoperations.html
- sparseoperations.pyx
- LICENSE
- README.md
// repository documentation
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