Image Classification Architectures Summary

Explore popular neural network architectures used for image classification including AlexNet, VGG, Inception, ResNet, MobileNet, and EfficientNet. Understand their unique features, such as handling vanishing gradients, model size optimization, and accuracy improvements. Learn how to select the best architecture based on memory constraints and accuracy needs to apply in your PyTorch projects.