add kwarg constructors
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@ -55,6 +55,11 @@ function Conv(w::AbstractArray{T,N}, b::Union{Zeros, AbstractVector{T}}, σ = id
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return Conv(σ, w, b, stride, pad, dilation)
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return Conv(σ, w, b, stride, pad, dilation)
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end
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end
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function Conv(;weight::AbstractArray, bias::Union{Zeros, AbstractVector{T}}, activation = identity,
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stride = 1, pad = 0, dilation = 1) where {T,N}
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Conv(weight, bias, activation, stride = stride, pad = pad, dilation = dilation)
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end
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"""
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"""
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convfilter(filter::Tuple, in=>out)
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convfilter(filter::Tuple, in=>out)
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@ -144,6 +149,11 @@ function ConvTranspose(w::AbstractArray{T,N}, b::Union{Zeros, AbstractVector{T}}
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return ConvTranspose(σ, w, b, stride, pad, dilation)
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return ConvTranspose(σ, w, b, stride, pad, dilation)
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end
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end
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function ConvTranspose(;weight::AbstractArray{T,N}, bias::Union{Zeros, AbstractVector{T}},
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activation = identity, stride = 1, pad = 0, dilation = 1) where {T,N}
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ConvTranspose(weight, bias, activation, stride = stride, pad = pad, dilation = dilation)
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end
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function ConvTranspose(k::NTuple{N,Integer}, ch::Pair{<:Integer,<:Integer}, σ = identity;
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function ConvTranspose(k::NTuple{N,Integer}, ch::Pair{<:Integer,<:Integer}, σ = identity;
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init = glorot_uniform, stride = 1, pad = 0, dilation = 1,
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init = glorot_uniform, stride = 1, pad = 0, dilation = 1,
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weight = convfilter(k, reverse(ch), init = init), bias = zeros(ch[2])) where N
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weight = convfilter(k, reverse(ch), init = init), bias = zeros(ch[2])) where N
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@ -233,6 +243,11 @@ function DepthwiseConv(w::AbstractArray{T,N}, b::Union{Zeros, AbstractVector{T}}
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return DepthwiseConv(σ, w, b, stride, pad, dilation)
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return DepthwiseConv(σ, w, b, stride, pad, dilation)
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end
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end
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function DepthwiseConv(;weight::AbstractArray, bias::Union{Zeros, AbstractVector{T}},
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activation = identity, stride = 1, pad = 0, dilation = 1) where {T,N}
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DepthwiseConv(weight, bias, activation, stride = stride, pad = pad, dilation = dilation)
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end
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"""
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"""
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depthwiseconvfilter(filter::Tuple, in=>out)
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depthwiseconvfilter(filter::Tuple, in=>out)
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