This is the first episode in my brand new series on Computer Vision! To kick off this series we will be looking at the CIFAR10 Image classification challenge and building more complex models to get better results in the challenge as we go! The idea is that these series should be easy to follow and try to be as practical as possible.

In the next episode we will be breaking down Convolution Neural Networks (CNNs) and extracting image features for image classification.

Intro: 00:00
Looking at CIFAR10: 03:05
Loading the Dataset: 06:26
Creating DataLoaders: 09:25
Transforming Images to Tensors: 11:55
Visualising the Dataset: 16:25
What are image features: 18:55
Outro: 19:45

If you guys like these practical coding guides in python / pytorch then let me know in the comment section down below and please share with your friends!

useful links
https://www.cs.toronto.edu/~kriz/cifa...
https://pytorch.org/tutorials/beginne...