Made on
Tilda
Deep Learning Course
Part 1 Advanced track
About the course
On the basic course in the first semester, you will be able to get acquainted with the basics of machine learning and neural networks, as well as master the tools of any data scientist. A significant part of the course will be devoted to an introduction to the Python language : both are necessary for learning neural networks.
At the end of the semester, students make an individual project (project topics will be announced closer to the end of the course)
The course is hosted on the Stepik platform. Registration is open. Training will start in January 2023
Course program
Fundamentals of machine learning, sklearn library
Linear Models, OOP in Machine Learning
Algorithm Compositions and Model Selection Methods
Introduction to Neural Networks and PyTorch library
Fundamentals of Convolutional Neural Networks
Methods for training neural networks
Convolutional Neural Network Architectures and Image Classification
Image segmentation
Image detection
Practical application and implementation of computer vision models
Generative Models and Autoencoders
Generative adversarial models
Competitions on Kaggle
Additional lectures from our partners
Final project
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