# Week 3 Yolo Doubt About Sliding Window **URL:** \ **Category:** Convolutional Neural Networks\ **Tags:** coursera-platform\ **Created:** [June 19, 2021, 12:26pm UTC](https://community.deeplearning.ai/t/week-3-yolo-doubt-about-sliding-window/15495 "2021-06-19T12:26:58Z")\ **Posts on this page:** 1\ **Showing post:** 8
**Author:** ![ai\_curious](https://sea1.discourse-cdn.com/dlai/user_avatar/community.deeplearning.ai/ai_curious/32/128003_2.png) [@ai\_curious](https://community.deeplearning.ai/u/ai_curious)\ **Post date:** [August 18, 2024, 9:11pm UTC](https://community.deeplearning.ai/t/week-3-yolo-doubt-about-sliding-window/15495/8 "2024-08-18T21:11:45Z")
I did a little more digging on this topic for this thread… > [@YOLO vs Convolutional Sliding Window](https://community.deeplearning.ai/t/yolo-vs-convolutional-sliding-window/564369/5): > > While I have read that OverFeat paper referenced by Prof Ng in the discussion of Convolutional Implementation of Sliding Windows (CISW), but I haven’t ever worked with an implementation of it. I have spent a lot of time working to understand YOLO and implementing it myself from scratch. Here is my compare/contrast. First, the basic network architecture of multiple convolutional layers successively downsampling the single input image is comparable. YOLO v1 had two fully connected layers after … --- _[View the full topic](https://community.deeplearning.ai/t/week-3-yolo-doubt-about-sliding-window/15495)._