progress:
(21%)
"I really like the way it devises the the difference between a discriminative model and generative model. The optimization process in discirminative model is done by following maximum likelihood estimate to look for the optimal parameter value to maximize the discriminative power at output, whereas the generative models integrate over the whole range of distribution, parameters r random variables, assume any value" — Dec 25, 2017 10:01PM
"I really like the way it devises the the difference between a discriminative model and generative model. The optimization process in discirminative model is done by following maximum likelihood estimate to look for the optimal parameter value to maximize the discriminative power at output, whereas the generative models integrate over the whole range of distribution, parameters r random variables, assume any value" — Dec 25, 2017 10:01PM
Akm’s 2025 Year in Books
Take a look at Akm’s Year in Books, including some fun facts about their reading.
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