Comments (3)
Hi,
Thank you for use to this library.
Currently, ruby-dnn does not support Slice.
However, by giving multiple inputs to the model,
the it is possible to apply different embeddings to two different categorical features.
It can be accomplished with the following code.
class MyModel < Model
##...
def forward(inputs)
x1, x2 = *inputs
e1 = @embed1.(x1)
e2 = @embed2.(x2)
x = Concatenate.(e1, e2, axis: 1)
x = @dense.(x)
end
end
model = MyModel.new
model.train([input1, input2], output, epochs)
And, Embedding can not be applied to multi-dimensional features.
Therefore, after applying Embedding to a one-dimensional feature,
the you need to make it multi-dimensional with Reshape.
class MyModel < Model
##...
def forward(x)
e = @embed.(x)
x = Reshape.(x, [32, 32, 3])
x = @conv2d.(x)
end
end
※I am not good at English and may be wrong.
from ruby-dnn.
There is no Embedding example because it's hard to prepare a natural language dataset. This is something I hope to improve in the future.
from ruby-dnn.
from ruby-dnn.
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from ruby-dnn.