![The F=ma of Artificial Intelligence [Backpropagation, How Models Learn Part 2]](https://i.ytimg.com/vi/VkHfRKewkWw/mqdefault.jpg)
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Last Updated: October 1, 2026
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This StatQuest picks up right here Topics Covered: 00:10 Continuation of previous lecture 02:03 Local Gradient 02:45 Neuron k as hidden neuron 10:28 Summary. In this video we add in the bias term to see how they work together to find a solution. Finally I add in a second data point and we ... This video continues the previous tutorial and goes from delta for the hidden layer through the completed Learn about watsonx→ ibm.biz/BdyEjK Neural networks are great for predictive modeling — everything from stock trends to ... Help fund future projects: patreon.com/3blue1brown An equally valuable form of support is to share the videos. In this video, we'll break down the fundamentals of Backpropagation, a key concept in neural networks. Join us for a ... In this video, I begin implementing Shortform link: shortform.com/artem ===== My name is Artem, I'm a neuroscience PhD student at Harvard University.
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