Build a Residual Module and a Residual Convolutional Network

As always, using Keras and Tensorflow!

Carla Martins
6 min readSep 14, 2023

In the last article, we learned about Residual Connections and their importance in neural networks to prevent gradient vanishing. In this article we we will learn how to build a Residual module and how to implement a full convolutional neural network with residual connections, as well as to compare the performance with a sequential convolutional neural network. Keep reading!

The first step in this article is to build a residual module. If haven't read my past articles on convolutional networks, I strongly recommend you do so, and get familiar with convolutional layers, batch normalization, and activation functions.

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Carla Martins
Carla Martins

Written by Carla Martins

Compulsive learner. Passionate about technology. Speaks C, R, Python, SQL, Haskell, Java and LaTeX. Interested in creating solutions.

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