Want to learn how to create a basic convolutional neural network (CNN) to classify images? This short video runs you through the whole process of setting up a CNN to do image classification on the CIFAR 10 dataset.

Intro: 00:00
Data loading (recap): 00:51
Model architecture: 2:34
Training loop: 13:30
Testing our trained model on validation set: 21:25
Outro: 25:29

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As mentioned in the video this video is heavily inspired by the cifar 10 pytorch official tutorial I am not trying to reinvent the wheel and this is a great starting point for building your first convolutional neural network with pytorch. However! in the next few episodes we will be building on the foundations we made here and the last two episodes to improve our image classifier even further with data augmentation and residual connections! Stay tuned!

useful links
https://pytorch.org/tutorials/beginne...