QI. Sketch a GAN architecture where in addition to the true pattems (instances). we also have access to a simulator which produces its own pattems and instances. And these two are necessarily different from the ienerative adversarial networks generator of the deep network which produces fake samples. Therefore, when designing the GAN, we want you to set up a three way diserimination between true, simulated and fake. Carry this aut explaining your nrchitecture providing full details (especially focusing on the discriminator). ...

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A: Supervised machine learning is a subset of machine learning in which the output (or target) variable…

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A: Here in this question we have asked five advantages and  disadvantage of using computer in learning.

Q: What do you mean by ensemble learning?

A: solution is given below:

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A: Providing correct option with explanation.

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A: Given: Explain in your own words unsupervised machine learning and compare it with supervised…

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A: The following is the answer:

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A: In Supervised learning, we will train the machine using data that is well "labeled." This means that…

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A: THe answer is.

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A: Having a larger training set is generally considered better for machine learning algorithms because…

Q: A satisficing model will discover a decent, but not necessarily the best, solution to a problem.…

A: Here is the answer: