pechyonkin / key-dl-architectures

Overview of some of the key deep learning architectures

Key Deep Learning Architectures for Visual Object Recognition

This repository provides overview of some of the prominent neural network architectures. Reading through this guide and all supplement materials will help you develop understanding of the modern neural network architectures and main ideas behind them. Before starting, you should have some familiarity with the basics of neural networks, backpropagation algorithm and gradient descent.

List of Architectures in this guide

Sorted in chronological order. Click an architecture name to jump to corresponding part of the guide.

• LeNet
• AlexNet

Coming soon:

• ZFNet, 2013
• GoogLeNet, 2014
• Inception, 2014
• VGG, 2014
• InceptionV2, InceptionV3, 2015
• ResNet, 2015
• InceptionV4, InceptionResNetV2, 2016
• DenseNet, 2016
• Xception, 2016
• MobileNet, 2017
• NASNet, 2017
• SE-ResNet, 2017
• MobileNetV2, 2018

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I used this badge generator to make badges for Imagenet-winning architectures.