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lukesingham.com | ||
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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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sebastianraschka.com
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| | | | | I'm Sebastian: a machine learning & AI researcher, programmer, and author. As Staff Research Engineer Lightning AI, I focus on the intersection of AI research, software development, and large language models (LLMs). | |
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rasbt.github.io
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| | | | | A library consisting of useful tools and extensions for the day-to-day data science tasks. | |
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dagshub.com
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| | | Version control is critical for every machine learning project. Learn what you need to version, when and how in this blog | ||
