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Question: When working with a generative adversarial network, the discriminator assigns a score to the images created by the generator. As training progresses, the real and fake image scores tend to converge on which number? Instruction: Choose the option that best answers the question. 00 01 0-1 00.5

Question: When working with a generative adversarial network, the discriminator assigns a score to the images created by the generator. As training progresses, the real and fake image scores tend to converge on which number? Instruction: Choose the option that best answers the question. 00 01 0-1 00.5

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Question: When working with a generative adversarial network, the discriminator assigns a score to the images created by the generator. As training progresses, the real and fake image scores tend to converge on which number? Instruction: Choose the option that best answers the question. 00 01 0-1 00.5
Transcribed Image Text:Question: When working with a generative adversarial network, the discriminator assigns a score to the images created by the generator. As training progresses, the real and fake image scores tend to converge on which number? Instruction: Choose the option that best answers the question. 00 01 0-1 00.5
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