Deep Learning Basics Workshops
Szczegóły
We are very happy to announce the Deep Learning Basics Workshops with Przemysław Wysocki!
If you have ever wondered how the neural networks work, is it difficult to code them, train, what's the math behind - come to the workshops!
During the workshops we will focus on in-depth understanding of what stays behind every step necessary to successfully create a deep neural network from scratch. Just a basic knowledge of Python is enough! Anyway we will use Google's Colab to run it.
When: 16th of June, 17:00 - 21:00 (we'll have a break of course;) )
Where: Gdański Park Naukowo-Technologiczny, Building C, Room D
Don't forget to bring your laptop!!!
REGISTRATION INFO - IMPORTANT
The workshops are limited to 30 people only. Please register here on meetup.
What will we go through?
- Explanation of differences between AI, ML, DL
- Gradient decent algorithm & loss function
- Single neuron, the role of a neuron within whole network
- Activation function
- Creating a neural network from scratch in Python
- Weights initialization
- Forward propagation
- Backward propagation
- Training of neural network
- Creating similar neural network using TensorFlow library in Python
- Results comparison & further discussion
About Przemysław Wysocki
Przemysław works as AI Frameworks Engineer at Intel, where he develops functionalities of OpenVINO Framework .
He graduated from Warsaw University of Technology where he studied Automatics and Robotics. He had an opportunity to join AI research and become an author of multiple publications.
Privately, he is interested in 3D Printing and enjoys playing electric guitar!
