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.
We'll cover the following...
We'll cover the following...
Summary
We learned all the popular image classification architectures and the novelties they brought us. Let’s do a quick review to sum up:
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AlexNet and VGG: These are architectures that use only standard convolutions with different kernel sizes.
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