Jan 5, 2021 · Self-supervised learning is a machine learning technique that uses unsupervised learning for tasks typical to supervised learning, without labeled data.

自己教師あり学習（SSL）は、 コンピューター・ビジョン や 自然言語処理（NLP） のように、最先端の 人工知能（AI）モデル をトレーニングするために、大量のラベル付きデータを必要とする分野 …

这种与传统机器学习范式的不完美契合导致了现在统称为“自监督学习”的各种技术有了自己的分类。 该术语的创造者通常被认为是 Yann LeCun，他是图灵奖得主计算机科学家，也是深度学习出现的关键人 …

Supervised learning is a machine learning technique that uses labeled data sets to train artificial intelligence algorithms models to identify the underlying patterns and relationships between input …

L'apprentissage auto-supervisé est une technique de machine learning qui utilise l'apprentissage non supervisé pour des tâches qui, habituellement, nécessitent un apprentissage supervisé, le tout sans …

Rather than relying on labeled datasets for supervisory signals, self-supervised AI models generate implicit labels from unstructured data. Self-supervised learning is useful in fields such as computer …

In this article, we’ll explore the basics of two data science approaches: supervised and unsupervised. Find out which approach is right for your situation. The world is getting “smarter” every day, and to …

자기 지도 학습 (SSL)은 컴퓨팅 비전 및 자연어 처리 (NLP) 와 같이 최첨단 인공 지능 (AI) 모델 을 학습하기 위해 대량의 레이블이 지정된 데이터가 필요한 분야에서 특히 유용합니다. 이러한 레이블이 지정된 …

Selbstüberwachtes Lernen ist eine Technik des maschinellen Lernens, bei der unüberwachtes Lernen für Aufgaben verwendet wird, die typisch für überwachtes Lernen sind, ohne dass gelabelte Daten …

Machine learning types Machine learning algorithms fall into five broad categories: supervised learning, unsupervised learning, semi-supervised learning, self-supervised and reinforcement learning.