Course
Deep Learning and neural networks


Neural network practical course on Python
Sign up for the consultation about tuition fees and schedule
Course programme
On this course you will learn how to create neural networks for solving practical problems!
Required skills for the course : knowledge of Python
1
Neural networks introduction
2
Multilayer Perceptrons
3
Convolutional neural networks
4
Image recognition, computer vision
5
Natural language processing
6
Recurrent neural networks
7
Practise
8
RL, GAN
9
Libraries of NN
Skills, that you will acquire
1
Knowledge of neural network architecture
- Understanding the work of Neural Networks and the learning process
- Understanding neural network architecture
- Creation of neural networks
2
Work with objects and text
- Object recognition and detection in pictures
- Text classification
- Theory for generating texts and images
3
Solving cases
- Selection and implementation of neural network algorithm for a specific task
Experts
Our experts will help you to become a data scientist
Sergey
Alyamkin
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.
Dmitriy
Luppov
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.
Aleksandr
Goncharenko
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."
Contact us
Find out about the pricing and the schedule
By pressing the button, you consent to the processing of personal data and agree to the privacy policy
Write Close
Close
Recieve more information to e-mail
By pressing the button, you consent to the processing of personal data and agree to the privacy policy
Made on
Tilda