Click4Ai

471.

Hard

Few-Shot Learning

**Example:** Suppose we have a small dataset of 5 images of cats and dogs. We want to train a model to classify new images as either cats or dogs. However, we only have access to the 5 images in the dataset. How can we train the model to make accurate predictions on new images?

**Constraints:** The model should be able to learn from the small dataset and make accurate predictions on new images. The model should not require a large dataset to train.

Test Cases

Test Case 1
Input: [[[1, 2, 0], [3, 4, 1]], [[5, 6, 0], [7, 8, 1]]]
Expected: 1
Test Case 2
Input: [[[9, 10, 0], [11, 12, 1]], [[13, 14, 0], [15, 16, 1]]]
Expected: 0
+ 3 hidden test cases