What algorithms do deep learning mainly learn?

1. Deep learning is a machine learning algorithm: using multiple layers to gradually extract higher-level features from the original input. For example, in image processing, lower layers can identify edges, while higher layers can identify parts that are meaningful to human beings, such as numbers/letters or faces.

2. There are three deep learning algorithms: regression algorithm. Regression algorithm is an algorithm that tries to explore the relationship between variables by measuring errors, and it is a sharp weapon of statistical machine learning. Case-based algorithm.

3. Deep learning includes MAN, BP back propagation algorithm, TensorFlow deep learning tools, etc.

4. Deep learning mainly includes: neural network, BP back propagation algorithm, TensorFlow deep learning tool, etc. The English full name of deeplearning is Deep Learning, which is a branch of machine learning. It is mainly based on artificial neural network, and then represents the algorithm of data learning.

5. There is only a simple understanding: there are three common deep learning algorithms: convolutional neural network, cyclic neural network and generating countermeasure network.