Building and predicting a neural network in python
Ravshanbek ZulunovFerghana branch of Tashkent university of information technologies named after Muhammad al- Kwarizmi, Ferghana, UzbekistanU. Yu. AkhundjanovFerghana branch of Tashkent university of information technologies named after Muhammad al- Kwarizmi, Ferghana, UzbekistanKhurshid MusayevFerghana branch of Tashkent university of information technologies named after Muhammad al- Kwarizmi, Ferghana, UzbekistanBakhrom SoliyevFerghana branch of Tashkent university of information technologies named after Muhammad al- Kwarizmi, Ferghana, UzbekistanAhror KayumovFerghana branch of Tashkent university of information technologies named after Muhammad al- Kwarizmi, Ferghana, UzbekistanMukhammadmullo AsraevFerghana branch of Tashkent university of information technologies named after Muhammad al- Kwarizmi, Ferghana, Uzbekistan
ABI
Abstract
The article examines the practical implementation of Artificial Intelligence technologies, Machine Learning and Deep Learning technologies. Methods of construction and prediction of neural networks are considered using special libraries of Python language. Linear regression and NumPy it is suggested to use libraries.