Sign up for the consultation about tuition fees and schedule
On this course you will learn how to create neural networks for solving practical problems! Required skills for the course : knowledge of Python
Neural networks introduction
Convolutional neural networks
Image recognition, computer vision
Natural language processing
Recurrent neural networks
Libraries of NN
Skills, that you will acquire
Knowledge of neural network architecture
- Understanding the work of Neural Networks and the learning process - Understanding neural network architecture - Creation of neural networks
Work with objects and text
- Object recognition and detection in pictures - Text classification - Theory for generating texts and images
- Selection and implementation of neural network algorithm for a specific task
Our experts will help you to become a data scientist
Tech Lead of Expasoft. Candidate of Engineering Sciences, has 10+ years of experience in the field of IT and data analysis, 40+ successful projects and significant scientific experience in machine learning.
Technical director of the company "ChatMe", Data Scientist. Works on challenging tasks in the areas of classical machine learning, Deep Learning and Natural Language Processing. Conducted several courses on machine learning / data analysis / artificial intelligence in Russia and Kazakhstan.
Data Scientist in "Expasoft". Expert skills in Python 3.6 and up, Tensorflow, Pytorch, Keras. Graduate student of Novosibirsk State University. PhD thesis: "High-performance neural networks for devices with low computational resources."
Find out about the pricing and the schedule