
Master’s
Artificial Intelligence and Machine Learning — Master’s
Supervised and unsupervised learning, neural networks and their practical applications.
Informatik.uz mualliflar jamoasiMaster’s99 downloads
Deep learning architectures and research methodology.
Topics are grouped into chapters and listed in reading order.
1 topic
Convolutional layers, filters, pooling and CNN architecture: how a network learns the spatial structure of images. You will meet LeNet and ResNet, data augmentation and transfer learning.
Chapter 1. Deep learning2 min
Textbooks and study guides for this level.

Supervised and unsupervised learning, neural networks and their practical applications.