Pooling Layer in CNNs 🧠
The pooling layer in Convolutional Neural Networks (CNNs) plays a crucial role in spatial dimension reduction 📉. It helps condense feature maps, capturing essential information while reducing computational complexity 🔄. This layer enhances the network's ability to focus on key features and improve overall efficiency during the training process 🚀.