Home / IT & Computer Science / Biology & Biotechnology / Deep Learning for Bioscientists / Practical: Building a simple CNN
Practical: Building a simple CNN
A link to a colab notebook demonstrating how to build simple convolutional neural networks in PyTorch
© The University of Nottingham
PyTorch does contain some ‘off the shelf’ networks ready for use, but here we will look at how to build a simple convolutional nearal network from scratch.
In the linked Colab notebook we will look at the following:
- objects and classes
- the PyTorch
moduleclass - defining trainable layers, such as convolutional layers
- adding other layers, such as max pooling layers, and adding activation functions
- linking layers and activation functions together into a network
- how to intialise run a forward pass through the network.
Follow the link below and work through the Colab notebook step by step.
You may wish to open the link in a new browser tab so you can refer back here quickly.
Please leave any questions or comments below.
