Machine Learning with TensorFlow Training in Russia

  • Learn via: Classroom / Virtual Classroom / Online
  • Duration: 1 Day
  • Price: Please contact for booking options
We can host this training at your preferred location. Contact us!

Machine and deep learning capabilities are in demand, and Python is the fastest-growing tool in machine and deep learning. TensorFlow is a Python library for fast numerical computing created and released by Google that is used in deep learning and primarily focuses on neural networks. This session will focus on a hands-on approach to using Python and TensorFlow. We will start with an introduction to TensorFlow and provide examples of autoencoders, convolutional neural networks (CNN), and recurrent neural networks (RNN).

Intermediate Python programming.

Data engineers, data scientists, and programmers; those looking to get a foundation in deep learning.

  • How to set up and configure Anaconda
  • TensorFlow essentials
  • How to use regression in TensorFlow
  • How to use classification in TensorFlow
  • Overview of autoencoders
  • How to structure and apply CNN models
  • How to structure and apply RNN models


Contact us for more detail about our trainings and for all other enquiries!

Upcoming Trainings

Join our public courses in our Russia facilities. Private class trainings will be organized at the location of your preference, according to your schedule.

Classroom / Virtual Classroom
27 ноября 2024
Moskova, Sankt-Peterburg
1 Day
Classroom / Virtual Classroom
01 января 2025
Moskova, Sankt-Peterburg
1 Day
Classroom / Virtual Classroom
27 ноября 2024
Moskova, Sankt-Peterburg
1 Day
Classroom / Virtual Classroom
01 января 2025
Moskova, Sankt-Peterburg
1 Day
Classroom / Virtual Classroom
03 марта 2025
Moskova, Sankt-Peterburg
1 Day
Classroom / Virtual Classroom
09 марта 2025
Moskova, Sankt-Peterburg
1 Day
Classroom / Virtual Classroom
10 марта 2025
Moskova, Sankt-Peterburg
1 Day
Classroom / Virtual Classroom
16 марта 2025
Moskova, Sankt-Peterburg
1 Day
By using this website you agree to let us use cookies. For further information about our use of cookies, check out our Cookie Policy.