Pooling Layers in CNNs — What They Do and Why They Matter скачать в хорошем качестве

Pooling Layers in CNNs — What They Do and Why They Matter

▶️ Deep Learning Foundations Playlist (start here if you are new to this channel and to Deep Learning):    • What is Artificial Intelligence, Machine L...   In this video, we break down one of the most important components of Convolutional Neural Networks: pooling layers. You’ll learn: • What pooling layers actually do • Why CNNs use pooling after convolution layers • How max pooling works step by step • How pooling helps models focus on important features rather than exact pixel locations • How pooling and convolution work together to make CNNs powerful for computer vision This lesson builds directly on the earlier videos in the Deep Learning Foundations series, where we covered: – Deep learning intuition – Convolution operations and feature maps – How CNNs learn visual patterns If you’re new to CNNs or computer vision, I strongly recommend starting with the playlist above. This lesson is also part of my *Deep Learning Mastery* course on Udemy, where I go deeper into these ideas and apply them in hands-on projects: ▶️ https://www.udemy.com/course/deep-lea... Thanks for watching — and I’ll see you in the next video.