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Adds different activation functions to move towards maxout #6

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Adds different activation functions to move towards maxout #6

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20 changes: 19 additions & 1 deletion learn.jl
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Original file line number Diff line number Diff line change
@@ -1,9 +1,27 @@
function sigmoid(result)
#Activation functions start:

function ReLuLeaky(result) #Leaky Rectified Linear Unit implementation
for i in(1:length(result))
if(result[i])<0)
result[i]=0.01*result[i];
end
end
end

function tanh(result) #tanh implementation
for i in (1:length(result))
result[i]=((e^result[i]-(1/e^result[i]))/(e^result[i]+(1/e^result[i])))
end
end

function sigmoid(result) #sigmoid implementation
for i in (1:length(result))
result[i]=(1/(1+(e^result[i])))
end
end

#Activation functions end

function compute(input,theta)
a=[]
push!(a,input)
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