Residual Networks (ResNet) Explained Intuitively | Why Deep Networks Fail & How ResNet Fixes It

In this video, we deeply explore Residual Networks (ResNet) and explain why simply adding more layers to a neural network can actually make performance worse. Starting from the intuition behind CNN layers, we discuss the degradation problem, optimization difficulty, and vanishing gradients, and then show how residual connections and identity mapping solve these issues. 🎥 Animations created using Manim: Manim is an open-source Python library for creating mathematical animations. Learn more or try it yourself: 🔗 https://www.manim.community Let's Connect:- GitHub:- https://github.com/ByteQuest0 Reddit:-   / bytequest