# ML Practicum: Image Classification

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### Exercise 2: Preventing Overfitting

In this exercise, you'll improve the CNN model for cat-vs.-dog
classification you built in [Exercise 1](https://developers.google.com/machine-learning/practica/image-classification/exercise-1) by applying
data augmentation and dropout regularization:  
[Launch exercise](https://colab.research.google.com/github/google/eng-edu/blob/main/ml/pc/exercises/image_classification_part2.ipynb?utm_source=practicum-IC&utm_campaign=colab-external&utm_medium=referral&hl=en&utm_content=imageexercise2-colab)