As many meta-learning algorithms improve performance in solving few-shot classification problems for practical applications. the accurate prediction of uncertainty is considered essential. In meta-training. the algorithm treats all generated tasks equally and updates the model to perform well on training tasks. https://darthomes.shop/product-category/collections/