cnn-facial-landmark
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What is the importance of the flatten layer?
Hello,
I focus on my project for now, as I see when I read the document that you gave me is that the network is like this:
But when I see the script landmark.py
(old version), I noticed that there is an other layer that does not write on the document, I'm talking about the flattening layer.
I would like to know is it important to mention that layer or no?
The flatten layer is required so the input of the following dense layer is a vector other than matrix.
If I understand what you say , you mean that the input of the first dense layer ( full 1024 ) should be vector. For what reason?
- Is it to input the vector to tensors of the future neural network or just to the second dense layer ( full 2n ) " logits\BiasAdd" ?