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kaveh.page | ||
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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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glowingpython.blogspot.com
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| | | | | Have you ever wanted to check carbon emissions in the UK and never had an easy way to do it? Now you can use the Official Carbon Intensity A... | |
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gist.github.com
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| | | | | Implementing a Network-based Model of Epilepsy with Numpy and Numba. Code for https://danielegrattarola.github.io/posts/2019-10-03/epilepsy-model.html - eeg_generator_numba.py | |
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web.navan.dev
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| | | Tutorial on creating an image classifier model using TensorFlow which detects malaria | ||