官术网_书友最值得收藏!

Learning the metric space

In the metric-based meta learning setting, we will learn the appropriate metric space. Let's say we want to learn the similarity between two images. In the metric-based setting, we use a simple neural network that extracts the features from two images and finds the similarity by computing the distance between features of these two images. This approach is widely used in a few-shot learning setting where we don't have many data points. In the upcoming chapters, we will learn about metric-based learning algorithms such as Siamese networks, prototypical networks, and relation networks.

主站蜘蛛池模板: 峨眉山市| 建阳市| 卫辉市| 瑞昌市| 桑植县| 大足县| 远安县| 清丰县| 五寨县| 临沂市| 成安县| 策勒县| 白城市| 革吉县| 治多县| 徐州市| 南平市| 青浦区| 肥城市| 饶平县| 阿图什市| 六盘水市| 金坛市| 谢通门县| 洛川县| 镇安县| 兴仁县| 子长县| 宁河县| 诸暨市| 泰州市| 翁源县| 西平县| 临颍县| 白玉县| 田东县| 拉萨市| 老河口市| 通许县| 响水县| 和田县|