Exploring VGG Architecture: How Deep Layers Revolutionize Image Recognition
The introduction of deep convolutional neural networks (CNNs) has dramatically improved image recognition capabilities. Among the seminal architectures, the VGG (Visual Geometry Group) Network, proposed by Karen Simonyan and Andrew Zisserman in 2014, was a breakthrough. It demonstrated the effectiveness of deep, simple, and uniform layer structures in achieving state-of-the-art performance on the ImageNet dataset. … Read more