Inception Network (GoogleNet) Explained

ByteQuest · Beginner ·🧬 Deep Learning ·4mo ago
Skills: CV Basics53%

About this lesson

In this video, we break down the Inception Network — one of the most elegant architectures in deep learning. We start with a simple but important question: how do you decide which filter size to use in a convolutional neural network? Instead of choosing, what if we used all of them at once? We build up the idea from scratch — starting with the naive Inception module, identifying the computational cost problem, and then solving it using 1×1 convolutions as bottlenecks. By the end, you'll have a solid intuition for why the Inception architecture works so well and how it manages to stay computationally efficient at the same time. 1x1 Convolutions video:- https://youtu.be/nkls02-s3M8 Full CNN Video (24 Minutes):- https://youtu.be/jL2G8DG-qmI link for codes of Animations:- https://github.com/ByteQuest0/Animation_codes/tree/main/2026 🎥 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:- https://www.reddit.com/r/ByteQuest/

Original Description

In this video, we break down the Inception Network — one of the most elegant architectures in deep learning. We start with a simple but important question: how do you decide which filter size to use in a convolutional neural network? Instead of choosing, what if we used all of them at once? We build up the idea from scratch — starting with the naive Inception module, identifying the computational cost problem, and then solving it using 1×1 convolutions as bottlenecks. By the end, you'll have a solid intuition for why the Inception architecture works so well and how it manages to stay computationally efficient at the same time. 1x1 Convolutions video:- https://youtu.be/nkls02-s3M8 Full CNN Video (24 Minutes):- https://youtu.be/jL2G8DG-qmI link for codes of Animations:- https://github.com/ByteQuest0/Animation_codes/tree/main/2026 🎥 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:- https://www.reddit.com/r/ByteQuest/
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