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Yet another neural network implementation. I can explain ! It was only to learn how it works and the theory behind it
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Adrien Marquès
eee503a405
unexport network features (neurons, weights, biases)
2018-10-15 06:54:38 +02:00
.gitignore
network structure (t) | feed-forward (t) | cost calculation (?) | backprop (!)
2018-10-11 21:37:24 +02:00
LICENSE
network structure (t) | feed-forward (t) | cost calculation (?) | backprop (!)
2018-10-11 21:37:24 +02:00
README.md
network structure (t) | feed-forward (t) | cost calculation (?) | backprop (!)
2018-10-11 21:37:24 +02:00
errors.go
network structure (t) | feed-forward (t) | cost calculation (?) | backprop (!)
2018-10-11 21:37:24 +02:00
funcs.go
network structure (t) | feed-forward (t) | cost calculation (?) | backprop (!)
2018-10-11 21:37:24 +02:00
network.go
unexport network features (neurons, weights, biases)
2018-10-15 06:54:38 +02:00
network_test.go
unexport network features (neurons, weights, biases)
2018-10-15 06:54:38 +02:00
storage.go
unexport network features (neurons, weights, biases)
2018-10-15 06:54:38 +02:00
README.md
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Another neural-network implementation featuring back-propagation.