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I'm not sure if or how I would apply neural networks to make selections with cards, which have a complex synergy. How could I design and train a neural network for this game, such that it can take into account all the variables? Is there a common approach? Advice 0. I would highly recommend to design it the way most neural networks are designed. The most ...


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So let's first draw the network in each case, for better visualizing the problem: Initial: ┌─┐ │A│ └┬┘ ┌▽┐ │B│ └┬┘ ┌▽┐ │C│ └─┘ 1st Generation: 1st Gen Mutation #1 Mutation #2 ┌────┐ ┌────┐ │A │ │A │ └┬──┬┘ └┬───┘ ┌▽┐ ┆ ┌▽───┐ │D│ ┆DIS │B │ └┬┘ ┆ └┬──┬┘ ┌▽───┐ ┌▽┐ ┆ │ B │ │E│ ┆DIS └┬───┘ ...


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