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gouthamanbalaraman.com | ||
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acidbourbon.wordpress.com
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| | | | | Motivation In the previous post we discussed the possibility to use LTspice as a "plug in" into a Python/Numpy signal processing project. It works quite well: you send a numpy data vector to LTspice, let it run through the simulation and get back a numpy vector again. Everything is abstracted away nicely by the "apply_ltspice_filter.py"... | |
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www.gregreda.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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www.osiztechnologies.com
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| | | Hire expert ChatGPT developers from Osiz to integrate advanced conversational AI solutions into your applications and elevate user interaction. With our expertise, we can customize and deploy ChatGPT models tailored to your specific needs, helping you enhance customer engagement, automate tasks, and innovate your business processes. | ||
