Deep Convolutional Models

Note: These are some of the models introduced in the Deep Learning Specialization course by DeepLearning.ai from Course 4 Week 2. I'm keeping it here for future references and may update this post with notes, etc. in the future

Classic Networks

LeNet-5

paper: Gradient-Based Learning Applied to Document Recognition

AlexNet

paper: ImageNet Classification with DCNN

VGG-16

paper: Very Deep Convolutional Networks for Large Scale Image Recognition

Other Networks

ResNets

paper: Deep Residual Learning for Image Recognition

Inception Network

paper: Going Deeper with Convolutions

MobileNet

paper: Efficient Convolutional Neural Networks for Mobile Vision Applications

EfficientNet

paper: Rethinking Model Scaling for Convolutional Neural Networks