Hitchhiker’s Guide to Residual Networks (ResNet) in Keras

Learn the foundations of residual networks and build a ResNet in Keras

Marco Peixeiro
Towards Data Science
4 min readApr 8, 2019

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Photo by Andrés Canchón on Unsplash

Very deep neural networks are hard to train as they are more prone to vanishing or exploding gradients. To solve this problem, the activation unit from a layer could be fed directly to a deeper layer of the network, which is termed as a skip

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Senior data scientist | Author | Instructor. I write hands-on articles with a focus on practical skills.