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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:
| | haythamfayek.com
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| | Understanding and computing filter banks and MFCCs and a discussion on why are filter banks becoming increasingly popular.
| | jingnanshi.com
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| | Tutorial on automatic differentiation
| | web.navan.dev
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| Tutorial on creating an image classifier model using TensorFlow which detects malaria