CNN ARCHITECTURES (1-5)

What’s the most important implementation information in a Deep Learning paper and how do we code it up? MLT Director Dimitris Katsios shows you exactly that with a series on CNN Architectures including notebooks, visualizations and videos. To kick off the series, Dimitris picked some of the earliest Convolutional Neural Network papers. This series will therefore not only teach you how to approach reading and implementing a Deep Learning paper, but it will also show how Convolutional Neural Networks evolved over time.

He’s starting with the following CNN Architectures:

AlexNet

[Notebook] [Video]

VGG

[Notebook] [Video]

GoogLeNet

[Notebook] [Video]

MobileNet

[Notebook] [Video]

ResNet

[Notebook] [Video]

Happy coding!


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