May 25 – 26, 2022
Zoom Meeting
Europe/Ljubljana timezone


Topics Covered

  1. Basic principles of artificial intelligence, machine learning and neural networks

  2. TensorFlow: introduction and installation

  3. TensorFlow deployment: models, activation functions, loss functions, layers, initializers, metrics, callbacks, optimizers etc.

  4. Practical TensorFlow examples: regression methods, text and image classification (convolutional neural networks)

  5. TensorBoard: model design, selection and evaluation

Target audience

  • Research and Academia
  • Industry
  • Public Sector

Prerequisite knowledge

Basics of data analysis and coding in Python programming language.