In this article, we fine-tune a pre-trained model on a new classification dataset, to understand how well transfer learning helps the model train on new data.

In this article, we look at how Weights & Biases can help you track and organize a massive experiment with thousands of runs.

In this article, we try to understand how to choose the right backbone for fine-tuning a model on downstream datasets in an attempt to find the new ResNet18.

Exploring model fine tunning with different learning rates