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The Flatten layer is used for collapsing an ND tensor into a 1D tensor. In your case, the inputs appear to be $28\times28$ images, so Flatten will convert that into a tensor with shape $1\times768$. Note that no information is lost. Flatten layers are usually used where you have a convolutional layer with dimensions $N\times M \times C$ (where $N$,$M$ are ...


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I would start by reviewing any available tools in NLP that can help you. I know two: Watson Personality Insights and Symanto thar provide API to develop this kind of solutions. The first one was one available in the past (Watson personality Insights) but unfortunately has been discontinued. The IBM Watson Personality Insights service enables applications to ...


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