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fa.bianp.net | ||
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teddykoker.com
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| | | | A few posts back I wrote about a common parameter optimization method known as Gradient Ascent. In this post we will see how a similar method can be used to create a model that can classify data. This time, instead of using gradient ascent to maximize a reward function, we will use gradient descent to minimize a cost function. Lets start by importing all the libraries we need: | |
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haythamfayek.com
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| | | | Understanding and computing filter banks and MFCCs and a discussion on why are filter banks becoming increasingly popular. | |
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jingnanshi.com
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| | | | Tutorial on automatic differentiation | |
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web.navan.dev
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| | Tutorial on creating an image classifier model using TensorFlow which detects malaria |