Show all

Convolutional Neural Networks and Image Processing

Workshop is for people who are looking for hands on experience with deep neural networks for image processing, but they didn’t have any real opportunity to do so yet.
Level
Designed for participants with basic knowledge and experience
intermediate
Course length
1 day
Language
 cz  eu
Course code
PU21110286
Artificial intelligence (AI)
Category:
Do you want this tailor-made course to your company? Contact us

Courses on a specific date with a live lecturer

Term
Language
Place
Form
?
How and where the course takes place.
Price without VAT
16. 10. 2024 09:00 - 17:00
Language
Place
Praha
Form
classroom
?
The course with an instructor in classroom.
Code of the course: PU21110286-0018
Price without VAT
4 990 Kč
16. 10. 2024 09:00 - 17:00
Language
Place
online
Form
virtual classroom
?
Online training with a lecturer at a specific time.
Code of the course: PU21110286-0019
Price without VAT
4 990 Kč
Open term
?
We will agree on a specific date together. This is a non-binding order.
Language
Place
Praha
Form
classroom
?
The course with an instructor in classroom.
Code of the course: PU21110286-0003
Price without VAT
4 990 Kč
Open term
?
We will agree on a specific date together. This is a non-binding order.
Language
Place
Praha
Form
classroom
?
The course with an instructor in classroom.
Code of the course: PU21110286-0004
Price without VAT
4 990 Kč

Course description

Through experiments, we will explore how and why such models work, what are the intuitions behind its’ functionality, and gradually, through simple examples, we’ll come to the models that are commonly used in industry. We will focus on possible use cases for neural net’s internal semantic image representation and how to visualize neural net behavior in the most effective way.

Required knowledge

  • basic knowledge of programing in Python
  • high school level of mathematics
  • Basics of machine learning on the level of our course Introduction to  machine Learning

Course content

  • Back to the history
  • What the convolution is and why it works
  • TensorFlow (designing a simple convolutional neural network)
  • Practical classification task with the Fashion MNIST data set.
  • Experiments with the MSCOCO and ResNet data sets
  • Visualisations using TensorBoards
  • Image classification
  • How to deal with noisy data

Lecturers

Adam Kolář
Adam Kolář

After graduating from Brno University of Technology, he spent most of his professional career as a researcher and later as the head of one of the research teams at Seznam.cz. He is currently helping to set up machine learning startups for Central Europe AI and is organizing Machine Learning Meetups Brno.

Do you want this tailor-made course for your company?

Contact us

News with the course

Náhledový obrázek novinky
Machine Learning 18. 3. 2023
The differences between Machine learning and Artificiant inteligence

Machine learning (ML) and Artificial intelligence (AI) are related fields, but they are not the same thing. AI is a broader field that encompasses many different technologies, including machine learning. Check with us the key differences between machine learning and artificial intelligence.

Náhledový obrázek novinky
Machine Learning 3. 6. 2021
Discover the benefits of Machine Learning

Machine Learning allows companies to be efficient, search for patterns in data, automate and make decisions with minimal human intervention. Learned algorithms solve defined tasks in real time and based on input data. At the same time, they learn from the new data and adapt to changing conditions.

Previous courses

Follow-up courses

Do you want this tailor-made course for your company?

Contact us

News with the course

Náhledový obrázek novinky
Machine Learning 18. 3. 2023
The differences between Machine learning and Artificiant inteligence

Machine learning (ML) and Artificial intelligence (AI) are related fields, but they are not the same thing. AI is a broader field that encompasses many different technologies, including machine learning. Check with us the key differences between machine learning and artificial intelligence.

Náhledový obrázek novinky
Machine Learning 3. 6. 2021
Discover the benefits of Machine Learning

Machine Learning allows companies to be efficient, search for patterns in data, automate and make decisions with minimal human intervention. Learned algorithms solve defined tasks in real time and based on input data. At the same time, they learn from the new data and adapt to changing conditions.

Why with us