{"id":36637,"date":"2024-11-01T09:50:11","date_gmt":"2024-11-01T09:50:11","guid":{"rendered":"http:\/\/atmokpo.com\/w\/?p=36637"},"modified":"2024-11-01T11:52:25","modified_gmt":"2024-11-01T11:52:25","slug":"deep-learning-pytorch-course-supervised-learning","status":"publish","type":"post","link":"https:\/\/atmokpo.com\/w\/36637\/","title":{"rendered":"Deep Learning PyTorch Course, Supervised Learning"},"content":{"rendered":"

<\/p>\n

Deep learning is a field of artificial intelligence (AI) that uses multilayer neural networks to learn patterns from data.
\n Today, we will conduct an in-depth lecture on one of the two most commonly used learning methods in deep learning, known as supervised learning.<\/p>\n

1. What is Supervised Learning?<\/h2>\n

Supervised learning is a method for learning predictive models based on given data.
\n Here, ‘supervised’ refers to labeled training data.
\n In supervised learning, relationships between input data and output labels are learned to create a model capable of making predictions on new data.<\/p>\n

1.1 Types of Supervised Learning<\/h3>\n

Supervised learning can be broadly divided into two types: classification and regression.<\/p>\n