Tutorial Notebooks on Building CIFAR 10 Classifier

A collection on notebooks that cover building image classfiers using various deep learning frameworks as part of this post.

The objectives are to show how to:

• create a simple classifier using CNNs
• track experiments using Comet.ml, WandB
• use hyperparameter tuning frameworks such as Keras-Tuner, Optuna, Ray Tune

Frameworks

• TensorFlow
• PyTorch
• PyTorch Lightning