11 | Breast Density Image Classification Using Python | Part 2 | Kaggle | Train and Evaluate Model

In this video, we will train and evaluate the transformer model for multi-class classification. Links: RSNA Challenge: https://kaggle.com/competitions/rsna-breast-cancer-detection/overview RSNA Image Data: https://www.kaggle.com/datasets/theoviel/rsna-breast-cancer-512-pngs/data Kaggle Link: https://www.kaggle.com/code/anumfatima/rsna-density-classification Github Link: https://github.com/anumfatima427/Mammo_Density_Classification_Using_Pytorch Related Videos: https://youtu.be/mk0a871kUQI TIMESTAMPS 0:00 Recap 1:01 RSNA Preprocessing Recap 3:00 Image Data Generator 5:20 Data Augmentation 8:30 Transformer Model 11:03 Model Training 16:52 Model Evaluation 20:50 Predictions on Test Image Thanks for watching! If you found this video helpful, please like, subscribe and share: https://www.youtube.com/@machine.mindscape Social: Website: https://machinemindscape.com/ LinkedIn: https://www.linkedin.com/company/machine-mindscape/