Deep Learning in R (Neural Networks) – 2-days workshop

This training is a continuation of a workshop on “Machine learning” prepared by Prof. Tomasz Górecki, PhD, AMU. Deep learning is one of the fastest growing branches of artificial intelligence. It involves the creation of neural networks. A neural network is a huge number of processors connected to each other and working simultaneously. Each of them has access to local memory and is fed with large amounts of data and information about the relationships between data. Basic applications of deep learning: speech recognition, image recognition, video processing, natural language processing, text translation, movie or book recommendation systems. The training is a live workshop with a progress check and an opportunity to ask questions. Upon completion of the workshop, participants will receive an electronic certificate of completion.

Date: to be agreed with the client (2-days online workshop).

Time: 10 hours (5 hours each day with a coffee break).

Location: online.

Group: for a group larger than 3 persons.

Teacher: Tomasz Górecki, Ph.D.

Price: 380 EUR/USD (plus VAT if applicable).


  • H2O Library
  • Automated Machine Learning Models (AutoML)
  • Introduction to neural networks
  • Introduction to deep neural networks
  • Keras Library
  • Convolutional neural networks
  • Recurrent networks, in particular LSTM type networks

Tomasz Górecki, Ph.D.

Professor at the Department of Mathematical Statistics and Data Analysis at the Faculty of Mathematics and Computer Science of Adam Mickiewicz University in Poznań, Vice-Dean for grants and cooperation with business at the Faculty of Mathematics and Computer Science of Adam Mickiewicz University in Poznań. His scientific interests include time series analysis, functional data analysis and artificial intelligence. He also deals with applications of statistical methods and machine learning in practical problems. He has been teaching probability calculus, statistics, machine learning, and artificial intelligence for over twenty years. He cooperates with many companies in the field of machine learning and artificial intelligence (Lidl, OLX, PWN, Samsung, Smartstock). He has been using R language for many years (he is a co-author of two R packages and an author of a book on R language). He cooperates with employees of Colorado State University, University of Utah, Poznan University of Technology, Poznan University of Economics and Poznan University of Life Sciences.