Description:
Required Skills: Grasshopper: mediocre, Rhino3D: beginner, UE4:beginner , C#: mediocre
Required Software: Rhinoceros 7, UE5
Required Hardware: PC
Maximum number of participating students: 100
Info: Learn the Basics of Machine Learning with different types of learning (Unsupervised/Supervised), how to create a dataset and label them, how to train different types of neural networks, classify Objects/Models and how to monitor ANN behaviors using Augmented Reality (AR). Also, Learn the Basics of Fractal Design and Fractal Learning. OUTCOMES:
- Classify random datasets and cluster them based on specific values.
- Generate initial plans from random layouts.
- Basics of GAN and how to implement it for initial rendering.
- Generate Fractal forms and render them in real-time.
Schedule:
timezone: (GMT +3:00) Baghdad, Riyadh, Moscow, St. Petersburg| Start time | End time | Description |
|---|---|---|
| 2022-06-27 - 18:00 | 2022-06-27 - 20:30 | Inroduction to Machine Learning --- LinearLogistic Regression |
| 2022-06-29 - 18:00 | 2022-06-29 - 20:30 | Introduction to Deep Learning --- Creating a dataset for Supervised Learning. |
| 2022-07-01 - 18:00 | 2022-07-01 - 20:30 | Introduction to GAN --- Training ANN for UnsupervisedSupervised Learning |
| 2022-07-03 - 18:00 | 2022-07-03 - 20:30 | Fractal Design --- Creating Mandelbulb in RH7/UE5 |
Instructors:
 |
Samer Rahmeh | Co-Founder of Cali Technology Solutions (Jordan) Chief Technology Officer of SAVIR Virtual Learning & Robotics (Saudi Arabia) ML Engineer/Deep Learning architecture specialist. CODE Architect [Architectural Programmer] from Philadelphia University. |
Disclaimer:
All workshops will accept 100 applications MAX.