This repository provides a TensorFlow implementation of Squeeze and Excitation (SE) blocks integrated into ResNeXt, Inception-v4, and Inception-resnet-v2 architectures. The code experiments with these models on the Cifar10 image classification dataset. It includes SE block definitions with channel excitation via fully connected layers and global average pooling.