https://github.com/skyworld117/dianoiasnn.jl

https://github.com/skyworld117/dianoiasnn.jl

Last synced: 22 days ago
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• Host: GitHub
• URL: https://github.com/skyworld117/dianoiasnn.jl
• Owner: SkyWorld117
• License: mit
• Created: 2021-06-23T17:57:01.000Z (over 3 years ago)
• Default Branch: master
• Last Pushed: 2021-12-13T13:22:59.000Z (about 3 years ago)
• Last Synced: 2024-11-09T02:52:59.181Z (3 months ago)
• Language: Julia
• Homepage:
• Size: 43.9 KB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

        
# DianoiaSNN

**DianoiaGSNN** is a framework for Spiking Neural Network. 

Please notice it is still in basic developing process and is not fully functioning. 

It has not been registered yet. You may want to try it like below:

```julia

include("DianoiaSNN.jl")

using .DianoiaSNN

using MLDatasets, LoopVectorization

train_x, train_y = MNIST.traindata()

test_x, test_y = MNIST.testdata()

dict = Dict{Int64, Int64}(1=>1, 2=>2, 3=>3, 4=>4, 5=>5, 6=>6, 7=>7, 8=>8, 9=>9, 0=>10)

nn = Network(;runtime=200, input_size=784)

nn.add_layer(nn; layer_size=10)

nn.train(nn; input_data=flatten(train_x,3), output_data=oneHot(train_y,10,dict), epochs=20, batch_size=500, 

         η=0.1, A₊=0.8, A₋=0.3, γᵥ=0.15, γₚ=1/1.1, γₘ=0.8, γₜ=0.34, w₊=1.5, w₋=-1.2, r=30, scales=3, guide=1, record=1)

```