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|
|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.|
All workshops will accept 100 applications MAX.