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Last Updated: September 22, 2026
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We're back with another deep learning explained series videos. In this video, we will learn about In this video we will look into the In this video, we talk about the L1 and Your network hits 99% training accuracy and 70% validation accuracy. That's not success — that's memorisation. This episode ... Large neural-network weights can make a model overly sensitive to small changes in its input. In Lesson 21, discover how In this video, we dive into two crucial We gave our model too much power, and it created a monster. In the last video, we saw how high-degree polynomials can lead to ... In this lecture, we dive deep into two of the most widely used "Ridge Regression is an extension of linear regression that helps with
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