# UC Berkeley CS189 HW3 (MNIST) Spring 2024 — Data

来源：https://www.kaggle.com/competitions/cs189-hw3-mnist-spring-2024/data

采集时间：2026-10-19T14:28:01Z

You will find a set of `.npz` files in the `data` folder for this homework. Each `.npz` file will load as a Python dictionary. Each dictionary contains three fields:
- `training_data`, the training set features. Rows are sample points and columns are features.
- `training_labels`, the training set labels. Rows are sample points. There is one column: the labels corresponding to rows of training_data above.
- `test_data`, the test set features. Rows are sample points and columns are features. You will fit a model to predict the labels for this test set, and submit those predictions to Kaggle.