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To answer your question, I'll just simplify it and assume you are representing the activation of a neuron (the value it produces) by an RGB value. So a tuple with 3 values ranging from 0 to 1. It's important to remember that every single machine learning model could be computed by a human on pen and paper using just numbers. So keeping that in mind, this ...


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Is it because the number of hidden layers with its input? Or because there is few data to train (1460 rows of train set) and the neural network needs more than that? Or is it because of the number of neurons in each layer? I think you are onto something here. You have over a thousand nodes, almost as many as training samples you have. In my experience, the ...


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